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    BibTeX-Key Author / Editor / Organization Title Year Journal / Proceedings / Book BibTeX type Keywords
    HomeAudioData2018 Z.Belgoum; J. Abdelnour; S. Brodeur and J. Rouat Audio dataset for Household Multimodal Environment (HoME) 2018 IEEE Dataport   Data
    BibTeX:
    @data{w77r-4902-18,
    doi = {10.21227/w77r-4902},
    url = {http://dx.doi.org/10.21227/w77r-4902},
    author = {Zakaria Belgoum; JŽr™me Abdelnour; Simon Brodeur; Jean Rouat},
    publisher = {IEEE Dataport},
    title = {Audio dataset for Household Multimodal Environment (HoME)},
    year = {2018} }
    					
    etienneTimbre2018 Richan, E. & Rouat, J. Towards translating perceptual distance from hearing to vision using neural networks 2018 TIMBRE 2018 (TIMBRE IS A MANY-SPLENDORED THING)   inproceedings
    BibTeX:
    @inproceedings{etienneTimbre2018,
      author = {Etienne Richan and Jean Rouat},
      title = {Towards translating perceptual distance from hearing to vision using neural networks},
      booktitle = {TIMBRE 2018 (TIMBRE IS A MANY-SPLENDORED THING)},
      year = {2018}
    }
    					
    LouisICAD2018 Commère, L.; Grond, F.; Côté, F. & Rouat, J. Sonification Of 3D Point Clouds For Substitution Of Vision By Audition For Blind Users 2018 Proceedings of the 24th int. conf. on Auditory display , pp. 256-258   inproceedings
    BibTeX:
    @inproceedings{LouisICAD2018,
      author = {Louis Commère and Florian Grond and François Côté and Jean Rouat},
      title = {Sonification Of 3D Point Clouds For Substitution Of Vision By Audition For Blind Users},
      booktitle = {Proceedings of the 24th int. conf. on Auditory display},
      year = {2018},
      pages = {256-258},
      url = {http://hdl.handle.net/1853/60095},
      doi = {http://doi.org/10.21785/icad2018}
    }
    					
    ahmadMTL2018 Ferdaoussi, A.E.; Brodeur, S.; Calvet, E.; Abdelnour, J.; Richan, E.; Bharmauria, V.; Bachatène, L.; Charnauria, N.; Molotchnikoff, S. & Rouat, J. Study of the emergence of cortical maps in large-scale simulation of the primary visual cortex 2018 Montreal NeuroSymposium 2018   conference
    BibTeX:
    @conference{ahmadMTL2018,
      author = {Ahmad El Ferdaoussi and Simon Brodeur and Emmanuel Calvet and Jérôme Abdelnour  and Etienne Richan  and Vichal Bharmauria  and Lyes Bachatène  and Nayan Charnauria  and  Stéphane Molotchnikoff  and Jean Rouat},
      title = {Study of the emergence of cortical maps in large-scale simulation of the primary visual cortex},
      booktitle = {Montreal NeuroSymposium 2018},
      year = {2018},
      url = {http://neurosymposium.ca/en/neurosymposium-2018/}
    }
    					
    louisMTL2018 Commère, L.; Wood, S. & Rouat, J. Sensory substitution of vision by audition for the visually impaired 2018 Montreal NeuroSymposium 2018   conference
    BibTeX:
    @conference{louisMTL2018,
      author = {Louis Commère, and Sean Wood and Jean Rouat},
      title = {Sensory substitution of vision by audition for the visually impaired},
      booktitle = {Montreal NeuroSymposium 2018},
      year = {2018},
      url = {http://neurosymposium.ca/en/neurosymposium-2018/}
    }
    					
    brodeurICLR2018 Brodeur, S.; Perez, E.; Anand, A.; Golemo, F.; Celotti, L.; Strub, F.; Rouat, J.; Larochelle, H. & Courville, A. HoME: a Household Multimodal Environment 2018 ICLR 2018 Workshop track   workshop
    BibTeX:
    @article{brodeurICLR2018,
      author = {Simon Brodeur and Ethan Perez and Ankesh Anand and Florian Golemo and Luca Celotti and Florian Strub and Jean Rouat and Hugo Larochelle and Aaron Courville},
      title = {HoME: a Household Multimodal Environment},
      conference = {ICLR 2018 Workshop track},
      year = {2018},
      url = {https://arxiv.org/abs/1711.11017}
    }
    					
    marcAntoineArXiv2018 Moinnereau, M.-A.; Brienne, T.; Brodeur, S.; Rouat, J.; Whittingstall, K. & Plourde, E. Classification Of Auditory Stimuli From EEG Signals with a Regulated Recurrent Neural Network Reservoir 2018 arXiv:1804.10322v1 [eess.SP] article
    BibTeX:
    @inproceedings{marcAntoineArXiv2018,
      author = {Moinnereau M-A, Brienne T, Brodeur S, Rouat J, Whittingstall K, Plourde E},
      title = {Classification Of Auditory Stimuli From EEG Signals with a Regulated Recurrent Neural Network Reservoir},
      booktitle = {arXiv.org},
      year = {2018}
    }
    					
    brodeurNUPS2017 Brodeur, S.; Perez, E.; Anand, A.; Golemo, F.; Celotti, L.; Strub, F.; Rouat, J.; Larochelle, H. & Courville, A. HoME: a Household Multimodal Environment 2017 NIPS 2017's Visually-Grounded Interaction and Language Workshop   workshop
    BibTeX:
    @article{brodeurNUPS2017,
      author = {Simon Brodeur and Ethan Perez and Ankesh Anand and Florian Golemo and Luca Celotti and Florian Strub and Jean Rouat and Hugo Larochelle and Aaron Courville},
      title = {HoME: a Household Multimodal Environment},
      journal = {NIPS 2017's Visually-Grounded Interaction and Language Workshop},
      year = {2017},
      url = {https://arxiv.org/abs/1711.11017}
    }
    					
    chat2017 Wood, S. & Rouat, J. Towards GCC-NMF Speech Enhancement for Hearing Assistive Devices: Reducing Latency with Asymmetric Windows 2017 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017 , pp. 83-88   inproceedings
    BibTeX:
    @inproceedings{chat2017,
      author = {Wood, S. and Rouat, J.},
      title = {Towards GCC-NMF Speech Enhancement for Hearing Assistive Devices: Reducing Latency with Asymmetric Windows},
      booktitle = {1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017},
      year = {2017},
      pages = {83--88},
      url = {http://spandh.dcs.shef.ac.uk/chat2017/papers/CHAT_2017_wood.pdf}
    }
    					
    erfaniTrIFS2017 Erfani, Y.; Pichevar, R. & Rouat, J. Audio watermarking using spikegram and a two-dictionary approach 2017 IEEE Tr. on Information Forensics and Security
    Vol. 12 , pp. 840-852  
    article
    Abstract: This paper introduces a new audio watermarking technique based on
    a perceptual kernel representation of audio signals (spikegram).
    Spikegram is a recent method to represent audio signals. It is combined
    with a dictionary of gammatones to construct a robust representation
    of sounds. In traditional phase embedding methods, the phase of coefficients
    of a given signal in a specific domain (such as Fourier domain) is
    modified. In the encoder of the proposed method (two-dictionary approach),
    signs and phases of gammatones in the spikegram are chosen adaptively
    to maximize the strength of the decoder. Moreover, the watermark
    is embedded only into kernels with high amplitudes where all masked
    gammatones have been already removed. The efficiency of the proposed
    spikegram watermarking is shown via several experimental results.
    First, robustness of the proposed method is shown against 32 kbps
    MP3 with an embedding rate of 56.5 bps. Second, we showed that the
    proposed method is robust against unified speech and audio codec
    (24 kbps USAC, linear predictive and Fourier domain modes) with an
    average payload of 5-15 bps. Third, it is robust against simulated
    small real room attacks with a payload of roughly 1 bps. Lastly,
    it is shown that the proposed method is robust against a variety
    of signal processing transforms while preserving quality.
    BibTeX:
    @article{erfaniTrIFS2017,
      author = {Erfani, Y. and Pichevar, R. and Rouat, J.},
      title = {Audio watermarking using spikegram and a two-dictionary approach},
      journal = {IEEE Tr. on Information Forensics and Security},
      year = {2017},
      volume = {12},
      pages = {840--852},
      url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7775035},
      doi = {http://doi.org/10.1109/TIFS.2016.2636094}
    }
    					
    glu2017 Brodeur, S.; Celotti, L. & Rouat, J. Salvi, G. (Hrsg.) KTH Proposal of a Generative Model of Event-based Representations for Grounded Language Understanding 2017 Proceedings of the First International Workshop on Grounding Language Understanding , pp. 81-86   inproceedings
    BibTeX:
    @inproceedings{glu2017,
      author = {Brodeur, S. and Celotti, L. and Rouat, J.},
      title = {Proposal of a Generative Model of Event-based Representations for Grounded Language Understanding},
      booktitle = {Proceedings of the First International Workshop on Grounding Language Understanding},
      year = {2017},
      pages = {81--86},
      url = {http://www.isca-speech.org/archive/GLU_2017/pdfs/GLU2017_paper_16.pdf}
    }
    					
    nayanSFN2017 Chanauria, N.; Bharmauria, V.; Bachatene, L.; Etindele Sosso, F.; Rouat, J. & Molotchnikoff, S. Co-ordinated adaptive changes of layer 2/3 and layer 5/6 multiunit activity (MUA) orientation tuning in the cat visual cortex 2017 Abstract's book of the society of Neuroscience, SFN Neuroscience 2017 Annual Meeting , pp. 227.21 / CC15   Abstract inproceedings, poster
    BibTeX:
    @inproceedings{nayanSFN2017,
      author = {Chanauria N, Bharmauria V, Bachatene L, Etindele Sosso F, Rouat J, Molotchnikoff S},
      title = {Co-ordinated adaptive changes of layer 2/3 and layer 5/6 multiunit activity (MUA) orientation tuning in the cat visual cortex},
      booktitle = {Abstract's book of the society of Neuroscience, SFN Neuroscience 2017 Annual Meeting},
      year = {2017},
      pages = {227.21 / CC15}
    }
    					
    seanInterspeech2017 Wood, S. & Rouat, J. Real-Time Speech Enhancement with GCC-NMF 2017 ISCA Proceedings of the INTERSPEECH'17 , pp. 2665-2669   inproceedings
    BibTeX:
    @inproceedings{seanInterspeech2017,
      author = {Wood S, Rouat J},
      title = {Real-Time Speech Enhancement with GCC-NMF},
      booktitle = {ISCA Proceedings of the INTERSPEECH'17},
      year = {2017},
      pages = {2665--2669},
      url = {http://dx.doi.org/10.21437/Interspeech.2017-1458},
      doi = {http://doi.org/10.21437/Interspeech.2017-1458}
    }
    					
    SeanOnLine2017 Wood, S.U.M. & Rouat, J. Low Latency Speech Enhancement with Real-time GCC-NMF 2017 IEEE/ACM Tr. Audio, Speech & Lang. Proc. (Submitted)   article
    BibTeX:
    @article{SeanOnLine2017,
      author = {Wood, S. U. M. and Rouat, J},
      title = {Low Latency Speech Enhancement with Real-time GCC-NMF},
      journal = {IEEE/ACM Tr. Audio, Speech & Lang. Proc. (Submitted)},
      year = {2017},
      note = {Submitted}
    }
    					
    simonCWIT2017 Brodeur, S. & Rouat, J. Optimality of Inference in Hierarchical Coding for Distributed Object-Based Representations 2017 15th. IEEE Canadian Workshop on Information Theory (CIWT), pp. 1 - 5   inproceedings
    BibTeX:
    @inproceedings{simonCWIT2017,
      author = {Simon Brodeur and Jean Rouat},
      title = {Optimality of Inference in Hierarchical Coding for Distributed Object-Based Representations},
      booktitle = {15th. IEEE Canadian Workshop on Information Theory (CIWT)},
      publisher = {IEEE},
      year = {2017},
      pages = {1 -- 5},
      url = {https://www.gel.usherbrooke.ca/rouat/publications/CWIT2017_IEEE_BrodeurRouat.pdf},
      doi = {http://doi.org/10.1109/CWIT.2017.7994828}
    }
    					
    woodTrASLP2017 Wood, S.U.; Rouat, J.; Dupont, S. & Pironkov Blind Speech Separation and Enhancement with GCC-NMF 2017 IEEE/ACM Transactions on Audio, Speech and Language Processing, pp. 3329-3341   article
    Abstract: We present a blind source separation algorithm named GCC-NMF that combines unsupervised dictionary learn- ing via non-negative matrix factorization (NMF) with spatial localization via the generalized cross correlation (GCC) method. Dictionary learning is performed on the mixture signal, with separation subsequently achieved by grouping dictionary atoms, at each point in time, according to their spatial origins. The resulting source separation algorithm is simple yet flexible, requiring no prior knowledge or information. Separation quality is evaluated for three tasks using stereo recordings from the publicly available SiSEC signal separation evaluation campaign: 3 and 4 concurrent speakers in reverberant environments, speech mixed with real-world background noise, and noisy recordings of a moving speaker. Performance is quantified using perceptually- motivated and SNR-based measures with the PEASS and BSS Eval toolkits, respectively. We evaluate the effects of model parameters on separation quality, and compare our approach with other unsupervised and semi-supervised speech separation and enhancement approaches. We show that GCC-NMF is a flexible source separation algorithm, outperforming task-specific approaches in each of the three settings, including both blind as well as several informed approaches that require prior knowledge or information.
    BibTeX:
    @article{woodTrASLP2017,
      author = {Sean Wood and Jean Rouat and Stephane Dupont and Pironkov},
      title = {Blind Speech Separation and Enhancement with GCC-NMF},
      journal = {IEEE/ACM Transactions on Audio, Speech and Language
    Processing},
      year = {2017},
      pages = {3329--3341},
    }
    					
    erfaniTrIFS2016 Erfani, Y.; Pichevar, R. & Rouat, J. Audio watermarking using spikegram and a two-dictionary approach 2017 IEEE Tr. on Information Forensics and Security   article
    Abstract: This paper introduces a new audio watermarking technique based on a perceptual kernel representation of audio signals (spikegram). Spikegram is a recent method to represent audio signals. It is combined with a dictionary of gammatones to construct a robust representation of sounds. In traditional phase embedding methods, the phase of coefficients of a given signal in a specific domain (such as Fourier domain) is modified. In the encoder of the proposed method (two-dictionary approach), signs and phases of gammatones in the spikegram are chosen adaptively to maximize the strength of the decoder. Moreover, the watermark is embedded only into kernels with high amplitudes where all masked gammatones have been already removed. The efficiency of the proposed spikegram watermarking is shown via several experimental results. First, robustness of the proposed method is shown against 32 kbps MP3 with an embedding rate of 56.5 bps. Second, we showed that the proposed method is robust against unified speech and audio codec (24 kbps USAC, linear predictive and Fourier domain modes) with an average payload of 5-15 bps. Third, it is robust against simulated small real room attacks with a payload of roughly 1 bps. Lastly, it is shown that the proposed method is robust against a variety of signal processing transforms while preserving quality.
    BibTeX:
    @article{erfaniTrIFS2016,
      author = {Erfani, Y. and Pichevar, R. and Rouat, J.},
      title = {Audio watermarking using spikegram and a two-dictionary
    approach},
      journal = {IEEE Tr. on Information Forensics and Security},
      year = {2017},
      url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7775035},
      doi = {http://doi.org/10.1109/TIFS.2016.2636094}
    }
    					
    nayan2016EJN Chanauria, N.; Bharmauria, V.; Bachatene, L.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Comparative effects of adaptation on layers II-III and V-VI neurons in cat V1 2016 European Journal of Neuroscience
    Vol. 44 , pp. 3094-3104  
    article
    Abstract: V1 is fundamentally grouped into columns that descend from layer II-III to layer V-VI. Neurons inherent to visual cortex are capable of adapting to changes in the incoming stimuli that drive the cortical plasticity. A principle feature called orientation selectivity can be altered by the presentation of non-optimal stimulus called 'adapter'. When triggered, LGN cells impinge upon layer IV and further relay the information to deeper layers via layer II-III. Using different adaptation protocols, neuronal plasticity can be investigated. Superficial neurons in area V1 are well acknowledged to exhibit attraction and repulsion by shifting their tuning peaks when challenged by a non-optimal stimulus called 'adapter'. Layer V-VI neurons in spite of partnering layer II-III neurons in cortical computation, have not been explored simultaneously towards adaptation. We believe that adaptation not only affects cells specific to a layer but modifies the entire column. In this study, through simultaneous multiunit recordings in anesthetized cats using a multichannel depth electrode, we show for the first time how layer V-VI neurons (1000-1200 $m) along with layer II-III neurons (300-500 $m) exhibit plasticity in response to adaptation. Our results demonstrate that superficial and deeper layer neurons react synonymously towards adapter by exhibiting similar behavioral properties. The neurons displayed similar amplitude of shift and maintained equivalent sharpness of Gaussian tuning peaks before and the following adaptation. It appears that a similar mechanism, belonging to all layers, is responsible for the analogous outcome of the neurons' experience with adapter. This article is protected by copyright. All rights reserved.
    BibTeX:
    @article{nayan2016EJN,
      author = {Chanauria, Nayan and Bharmauria, Vishal and Bachatene, Lyes
    and Cattan, Sarah and Rouat, Jean and Molotchnikoff, Stéphane},
      title = {Comparative effects of adaptation on layers II--III and V--VI
    neurons in cat V1},
      journal = {European Journal of Neuroscience},
      publisher = {Wiley Online Library},
      year = {2016},
      volume = {44},
      pages = {3094--3104},
      url = {https://dx.doi.org/10.1111/ejn.13439},
      doi = {http://dx.doi.org/10.1111/ejn.13439}
    }
    					
    guillaumePatentPCT2016 Mailhot, F.; Séguin-Godin, G. & Rouat, J. Method and System for event based neural networks 2016 (PCT/CA2016/050579)   patent
    BibTeX:
    @patent{guillaumePatentPCT2016,
      author = {Mailhot, F. and Séguin-Godin, G. and Rouat, J.},
      title = {Method and System for event based neural networks},
      year = {2016},
      number = {PCT/CA2016/050579}
    }
    					
    nayanSFN2016 Chanauria, N.; Bharmauria, V.; Bachatène, L.; Cattan, S.; Etindele-Sosso, F.; Rouat, J. & Molotchnikoff, S. Intriguing! Auditory stimulus shifts orientation selectivitity of visual neurons in cat V1 2016 Soc.For Neuroscience meeting , pp. 434.08 / SS16   conference
    BibTeX:
    @conference{nayanSFN2016,
      author = {Chanauria, N. and Bharmauria, V. and Bachatène, L. and
    Cattan, S. and Etindele-Sosso, F. and Rouat, J. and Molotchnikoff, S.},
      title = {Intriguing! Auditory stimulus shifts orientation selectivitity
    of visual neurons in cat V1},
      booktitle = {Soc.For Neuroscience meeting},
      year = {2016},
      month = {San Diego, Nov.},
      pages = {434.08 / SS16},
      url =
    {http://www.abstractsonline.com/pp8/index.html#!/4071/presentation/5723}
    }
    					
    woodInterspeech2016 Wood, S.U. & Rouat, J. ISCA Blind Speech Separation with GCC-NMF 2016 Spoken Language Proceesing, Proc. ISCA International Conference on (INTERSPEECH) , pp. 3329-3333   inproceedings
    BibTeX:
    @inproceedings{woodInterspeech2016,
      author = {Wood, Sean U.N. and Rouat, Jean},
      title = {Blind Speech Separation with GCC-NMF},
      booktitle = {Spoken Language Proceesing, Proc. ISCA International
    Conference on (INTERSPEECH)},
      year = {San Fransisco, Sept. 8--12, 2016},
      pages = {3329-3333},
      url =
    {http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1449.PDF},
      doi = {http://dx.doi.org/10.21437/Interspeech.2016-1449},
      citeseerurl = {https://github.com/seanwood/gcc-nmf},
    }
    					
    vishalNeuroscienceLetters2016 Bharmauria, V.; Bachatene, L.; Ouelhazi, A.; Cattan, S.; Chanauria, N.; Etindele-Sosso, F.A.; Rouat, J. & Molotchnikoff, S. Interplay of orientation selectivity and the power of low- and high-gamma bands in the cat primary visual cortex 2016 Neuroscience Letters
    Vol. 620 , pp. 14-19  
    article gamma oscillations, primary visual cortex, orientation selectivity index, ensemble
    Abstract: Abstract Gamma oscillations are ubiquitous in brain and are believed to be inevitable for information processing in brain. Here, we report that distinct bands (low, 30–40 Hz and high gamma, 60–80 Hz) of stimulus-triggered gamma oscillations are systematically linked to the orientation selectivity index (OSI) of neurons in the cat primary visual cortex. The gamma-power is high for the highly selective neurons in the low-gamma band, whereas it is high for the broadly selective neurons in the high-gamma band. We suggest that the low-gamma band is principally implicated in feed-forward excitatory flow, whereas the high-gamma band governs the flow of this excitation.
    BibTeX:
    @article{vishalNeuroscienceLetters2016,
      author = {Bharmauria, Vishal and Bachatene, Lyes and Ouelhazi, Afef and
    Cattan, Sarah and Chanauria, Nayan and Etindele-Sosso, Faustin Armel and
    Rouat, Jean and Molotchnikoff, Stéphane},
      title = {Interplay of orientation selectivity and the power of low- and
    high-gamma bands in the cat primary visual cortex},
      journal = {Neuroscience Letters},
      year = {2016},
      volume = {620},
      pages = {14--19},
      url =
    {http://www.sciencedirect.com/science/article/pii/S0304394016301719},
      doi = {http://dx.doi.org/10.1016/j.neulet.2016.03.033}
    }
    					
    adeliIEEEASLP2016 Adeli, M.; Rouat, J.; Wood, S.; Molotchnikoff, S. & Plourde, E. A Flexible Bio-inspired Hierarchical Model for Analyzing Musical Timbre 2016 IEEE/ACM Transactions on Audio, Speech and Language Processing  
    in Press, 9 Fev. 2016
    article timbre, cochlear filter bank, modulation filter bank, temporal envelope, time-averaged spectrum, instantaneous roughness, musical instrument classification, bayesian network, multimodal timbre characterization.
    Abstract: A flexible and multipurpose bio-inspired hierarchical model for analyzing musical timbre is presented in this paper. Inspired by findings in the fields of neuroscience, computational neuroscience, and psychoacoustics, not only does the model extract spectral and temporal characteristics of a signal, but it also analyzes amplitude modulations on different timescales. It uses a cochlear filter bank to resolve the spectral components of a sound, lateral inhibition to enhance spectral resolution, and a modulation filter bank to extract the global temporal envelope and roughness of the sound from amplitude modulations. The model was evaluated in three applications. First, it was used to simulate subjective data from two roughness experiments. Second, it was used for musical instrument classification using the k-NN algorithm and a Bayesian network. Third, it was applied to find the features that characterize sounds whose timbres were labeled in an audiovisual experiment. The successful application of the proposed model in these diverse tasks revealed its potential in capturing timbral information.
    BibTeX:
    @article{adeliIEEEASLP2016,
      author = {Mohammad Adeli and Jean Rouat and Sean Wood and
    Stéphane Molotchnikoff and Eric Plourde},
      title = {A Flexible Bio-inspired Hierarchical Model for Analyzing
    Musical Timbre},
      journal = {IEEE/ACM Transactions on Audio, Speech and Language
    Processing},
      year = {2016},
      note = {in Press, 9 Fev. 2016},
      url =
    {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407352},
      doi = {http://dx.doi.org/10.1109/TASLP.2016.2530405}
    }
    					
    vishalConnectomeEJ2015 Bharmauria, V.; Bachatene, L.; Cattan, S.; Brodeur, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. Network-selectivity and stimulus-discrimination in the primary visual cortex: cell: assembly dynamics 2015 European Journal of Neuroscience
    Vol. 43 (2) , pp. 204-2019  
    article
    BibTeX:
    @article{vishalConnectomeEJ2015,
      author = {Vishal Bharmauria and Lyes Bachatene and Sarah Cattan and
    Simon Brodeur and Nayan Chanauria and Jean Rouat and Stéphane
    Molotchnikoff},
      title = {Network-selectivity and stimulus-discrimination in the primary
    visual cortex: cell: assembly dynamics},
      journal = {European Journal of Neuroscience},
      year = {2015},
      volume = {43},
      number = {2},
      pages = {204--2019},
      url = {http://onlinelibrary.wiley.com/doi/10.1111/ejn.13101/full},
      doi = {http://dx.doi.org/10.1111/ejn.13101}
    }
    					
    vishalExpResearch2015 Bharmauria, V.; Bachatene, L.; Cattan, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. High noise correlation between the functionally connected neurons in emergent V1 microcircuits 2015 Experimental Brain Research
    Vol. 234 (2) , pp. 523-532  
    article
    Abstract: Neural correlations (noise correlations and cross-correlograms) are widely studied to infer functional connectivity between neurons. High noise correlations between neurons have been reported to increase the encoding accuracy of a neuronal population; however, low noise correlations have also been documented to play a critical role in cortical microcircuits. Therefore, the role of noise correlations in neural encoding is highly debated. To this aim, through multi-electrodes, we recorded neuronal ensembles in the primary visual cortex of anaesthetized cats. By computing cross-correlograms, we divulged the functional network (microcircuit) between neurons within an ensemble in relation to a specific orientation. We show that functionally connected neurons systematically exhibit higher noise correlations than functionally unconnected neurons in a microcircuit that is activated in response to a particular orientation. Furthermore, the mean strength of noise correlations for the connected neurons increases steeply than the unconnected neurons as a function of the resolution window used to calculate noise correlations. We suggest that neurons that display high noise correlations in emergent microcircuits feature functional connections which are inevitable for information encoding in the primary visual cortex.
    BibTeX:
    @article{vishalExpResearch2015,
      author = {Bharmauria, Vishal and Bachatene, Lyes and Cattan, Sarah and
    Chanauria, Nayan and Rouat, Jean and Molotchnikoff, Stéphane},
      title = {High noise correlation between the functionally connected
    neurons in emergent V1 microcircuits},
      journal = {Experimental Brain Research},
      year = {2015},
      volume = {234},
      number = {2},
      pages = {523--532},
      url = {http://dx.doi.org/10.1007/s00221-015-4482-7},
      doi = {http://dx.doi.org/10.1007/s00221-015-4482-7}
    }
    					
    BachateneBMC2015Summation Bachatene, L.; Bharmauria, V.; Cattan, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. Summation of connectivity strengths in the visual cortex reveals stability of neuronal microcircuits after plasticity 2015 BMC Neuroscience
    Vol. 16 (1) , pp. 1-11  
    article
    Abstract: Within sensory systems, neurons are continuously affected by environmental stimulation. Recently, we showed that, on cell-pair basis, visual adaptation modulates the connectivity strength between similarly tuned neurons to orientation and we suggested that, on a larger scale, the connectivity strength between neurons forming sub-networks could be maintained after adaptation-induced-plasticity. In the present paper, based on the summation of the connectivity strengths, we sought to examine how, within cell-assemblies, functional connectivity is regulated during an exposure-based adaptation.
    BibTeX:
    @article{BachateneBMC2015Summation,
      author = {Bachatene, Lyes and Bharmauria, Vishal and Cattan, Sarah and
    Chanauria, Nayan and Rouat, Jean and Molotchnikoff, Stéphane},
      title = {Summation of connectivity strengths in the visual cortex
    reveals stability of neuronal microcircuits after plasticity},
      journal = {BMC Neuroscience},
      year = {2015},
      volume = {16},
      number = {1},
      pages = {1--11},
      url = {http://dx.doi.org/10.1186/s12868-015-0203-1},
      doi = {http://dx.doi.org/10.1186/s12868-015-0203-1}
    }
    					
    lyesNeuroscienceLetters2015 Bachatene, L.; Bharmauria, V.; Cattan, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. Electrophysiological and firing properties of neurons: Categorizing soloists and choristers in primary visual cortex 2015 Neuroscience Letters
    Vol. 604 , pp. 103-108  
    article soloists, choristers, visual cortex, thin spike neurons, broad spike neurons, visual processing, firing rate
    Abstract: Abstract Visual processing in the cortex involves various aspects of neuronal properties such as morphological, electrophysiological and molecular. In particular, the neural firing pattern is an important indicator of dynamic circuitry within a neuronal population. Indeed, in microcircuits, neurons act as soloists or choristers wherein the characteristical activity of a ‘soloist’ differs from the firing pattern of a ‘chorister’. Both cell types correlate their respective firing rate with the global populational activity in a unique way. In the present study, we sought to examine the relationship between the spike shape (thin spike neurons and broad spike neurons) of cortical neurons recorded from V1, their firing levels and their propensity to act as soloists or choristers. We found that thin spike neurons, which exhibited higher levels of firing, generally correlate their activity with the neuronal population (choristers). On the other hand, broad spike neurons showed lower levels of firing and demonstrated weak correlations with the assembly (soloists). A major consequence of the present study is: estimating the correlation of neural spike trains with their neighboring population is a predictive indicator of spike waveforms and firing level. Indeed, we found a continuum distribution of coupling strength ranging from weak correlation-strength (attributed to low-firing neurons) to high correlation-strength (attributed to high-firing neurons). The tendency to exhibit high- or low-firing is conducive to the spike shape of neurons. Our results offer new insights into visual processing by showing how high-firing rate neurons (mostly thin spike neurons) could modulate the neuronal responses within cell-assemblies.
    BibTeX:
    @article{lyesNeuroscienceLetters2015,
      author = {Bachatene, Lyes and Bharmauria, Vishal and Cattan, Sarah and
    Chanauria, Nayan and Rouat, Jean and Molotchnikoff, Stéphane},
      title = {Electrophysiological and firing properties of neurons:
    Categorizing soloists and choristers in primary visual cortex},
      journal = {Neuroscience Letters},
      year = {2015},
      volume = {604},
      pages = {103--108},
      url =
    {http://www.sciencedirect.com/science/article/pii/S0304394015300690},
      doi = {http://dx.doi.org/10.1016/j.neulet.2015.07.049}
    }
    					
    shadiIEEEEMBS2015 Siahpoush, S.; Erfani, Y.; Rode, T.; Lim, H.; Rouat, J. & Plourde, E. IEEE Improving Neural Decoding in the Central Auditory System Using Bio-Inspired Spectro-Temporal Representations and a Generalized Bilinear Model 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society , pp. 5146-5150   inproceedings bayes methods;brain models;channel bank filters;decoding;hearing;bayesian decoding;gbm;gfb;glm;bioinspired spectrotemporal representations;central auditory system;encoding models;gammatone filter bank;generalized bilinear model;generalized linear model;neural activity;neural decoding;signal to noise ratio;spectrogram;spikegram reconstruction accuracy;accuracy;biological system modeling;decoding;electrodes;neurons;signal to noise ratio;spectrogram
    Abstract: We study the impact of different encoding models and spectro-temporal representations on the accuracy of Bayesian decoding of neural activity recorded from the central auditory system. Two encoding models, a generalized linear model (GLM) and a generalized bilinear model (GBM), are compared along with three different spectro-temporal representations of the input stimuli: a spectrogram and two bio-inspired representations, i.e. a gammatone filter bank (GFB) and a spikegram. Signal to noise ratios between the reconstructed and original representations are used to evaluate the decoding, or reconstruction accuracy. We experimentally show that the reconstruction accuracy is best with the spikegram representation and worst with the spectrogram representation and, furthermore, that using a GBM instead of a GLM significantly increases the reconstruction accuracy. In fact, our results show that the spikegram reconstruction accuracy with a GBM fitting yields an SNR that is 3.3 dB better than when using the standard decoding approach of reconstructing a spectrogram with GLM fitting.
    BibTeX:
    @inproceedings{shadiIEEEEMBS2015,
      author = {Shadi Siahpoush and Yousof Erfani and Thilo Rode and Hubert
    Lim and Jean Rouat and Eric Plourde},
      title = {Improving Neural Decoding in the Central Auditory System Using
    Bio-Inspired Spectro-Temporal Representations and a Generalized Bilinear
    Model},
      booktitle = {37th Annual International Conference of the IEEE
    Engineering in Medicine and Biology Society},
      publisher = {IEEE},
      year = {2015},
      pages = {5146--5150},
      doi = {http://dx.doi.org/10.1109/EMBC.2015.7319550}
    }
    					
    guillaumeISCAS2015 Séguin-Godin, G.; Mailhot, F. & Rouat, J. IEEE Efficient event-driven approach using synchrony processing for hardware spiking neural networks 2015 IEEE International Symposium on Circuits and Systems (ISCAS) , pp. 2696-2699   inproceedings field programmable gate arrays;neural chips;pipeline processing;trees (mathematics);fpga;comparator tree structure;event-driven algorithm;frequency 100 mhz;hardware architecture;hardware spiking neural networks;multiple pipelined processing elements;parallel computations;synchrony processing;biological neural networks;clocks;computational modeling;computer architecture;hardware;neurons;synchronization
    Abstract: Current digital hardware implementations of spiking neural networks usually focus on a time-driven architecture to process the large number of events that occur during a typical simulation. While this type of implementation is practical for simulating biologically accurate neurons, most systems using a simpler neuron model can benefit from an event-driven architecture. In such cases, significant performance improvements are theoretically possible. In practice, however, such implementations do not maximize the available computational power because finding the next event often involves serializing computations. In this paper, a hardware architecture that offers the efficiency of an event-driven algorithm while allowing parallel computations is developed. The architecture uses multiple pipelined processing elements to compute spikes in parallel and a novel comparator tree structure to find the next event in a large network efficiently. The resulting system can implement up to 131 072 neurons on a single FPGA (Xilinx Virtex-6 XC6VLX240T) and processes approximately 70 million spikes per second when using a 4-bank architecture clocked at 100 MHz.
    BibTeX:
    @inproceedings{guillaumeISCAS2015,
      author = {Guillaume Séguin-Godin and Frédéric
    Mailhot and Jean Rouat},
      title = {Efficient event-driven approach using synchrony processing for
    hardware spiking neural networks},
      booktitle = {IEEE International Symposium on Circuits and Systems
    (ISCAS)},
      publisher = {IEEE},
      year = {2015},
      pages = {2696-2699},
      doi = {http://dx.doi.org/10.1109/ISCAS.2015.7169242}
    }
    					
    fredericPatent2015 Mailhot, F.; Séguin-Godin, G. & Rouat, J. Hardware Architecture For Spiking Neural Networks 2015 (62165467)   patent
    BibTeX:
    @patent{fredericPatent2015,
      author = {Frédéric Mailhot and Guillaume
    Séguin-Godin and Jean Rouat},
      title = {Hardware Architecture For Spiking Neural Networks},
      year = {2015},
      number = {62165467}
    }
    					
    vishalEJN2015 Bharmauria, V.; Bachatène, L.; Cattan, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. Stimulus-dependant augmented gamma oscillatory activity between the functionally connected cortical neurons in V1 2015 European Journal of Neuroscience   article
    BibTeX:
    @article{vishalEJN2015,
      author = {Vishal Bharmauria and Lyes Bachatène and Sarah  Cattan
    and Nayan Chanauria and jean Rouat and St'ephane Molotchnikoff},
      title = {Stimulus-dependant augmented gamma oscillatory activity between
    the functionally connected cortical neurons in V1},
      journal = {European Journal of Neuroscience},
      year = {2015},
      url = {http://onlinelibrary.wiley.com/doi/10.1111/ejn.12912/epdf},
      doi = {http://dx.doi.org/10.1111/ejn.12912}
    }
    					
    lyesScientificReport2015 Bachatène, L.; Bharmauria, V.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Reprogramming Of Orientation Columns In Visual Cortex: A Domino Effect 2015 Scientific Report, Nature Publishing Group
    Vol. 5  
    article
    BibTeX:
    @article{lyesScientificReport2015,
      author = {Lyes Bachatène and Vishal Bharmauria and Sarah Cattan
    and Jean Rouat and St'ephane Molotchnikoff},
      title = {Reprogramming Of Orientation Columns In Visual Cortex: A Domino
    Effect},
      journal = {Scientific Report, Nature Publishing Group},
      year = {2015},
      volume = {5},
      url =
    {http://www.nature.com/srep/2015/150324/srep09436/full/srep09436.html}
    }
    					
    bachateneHomeostasie2015 Bachatene, L.; Bharmauria, V.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Modulation of functional connectivity following visual adaptation: Homeostasis in V1 2015 Brain Research
    Vol. 1594 , pp. 136-153  
    article cortical plasticity, crosscorrelation, functional connectivity, visual adaptation, neuronal network, homeostasis
    Abstract: Abstract Sensory neurons exhibit remarkable adaptability in acquiring new optimal selectivity to unfamiliar features when a new stimulus becomes prevalent in the environment. In conventionally prepared adult anesthetized cats, we used visual adaptation to change the preferred orientation selectivity in V1 neurons. Cortical circuits are dominated by complex and intricate connections between neurons. Cross-correlation of cellular spike-trains discloses the putative functional connection between two neurons. We sought to investigate changes in these links following a 12 min uninterrupted application of a specific, usually non-preferred, orientation. We report that visual adaptation, mimicking training, modulates the magnitude of crosscorrelograms suggesting that the strength of inter-neuronal relationships is modified. While individual cell-pairs exhibit changes in their response correlation strength, the average correlation of the recorded cell cluster remains unchanged. Hence, visual adaptation induces plastic changes that impact the connectivity between neurons.
    BibTeX:
    @article{bachateneHomeostasie2015,
      author = {Bachatene, L. and Bharmauria, V. and Cattan, S. and Rouat, J.
    and Molotchnikoff, S.},
      title = {Modulation of functional connectivity following visual
    adaptation: Homeostasis in V1},
      journal = {Brain Research},
      year = {2015},
      volume = {1594},
      pages = {136--153},
      url =
    {http://www.sciencedirect.com/science/article/pii/S0006899314014760},
      doi = {http://dx.doi.org/10.1016/j.brainres.2014.10.054}
    }
    					
    jeanParis2014 Rouat, J.; Bachatene, L.; Cattan, S.; Adeli, M.; Bharmauria, V.; Chanauria, N. & Molotchnikoff, S. Human Brain Project Noise and brain plasticity? 2014 HUMAN BRAIN PROJECT Workshop : Stochastic Neural Computation   conference
    BibTeX:
    @conference{jeanParis2014,
      author = {Jean Rouat and Lyes Bachatene and Sarah Cattan and Mohammad
    Adeli and Vishal Bharmauria and Nayan Chanauria and St'ephane
    Molotchnikoff},
      title = {Noise and brain plasticity?},
      booktitle = {HUMAN BRAIN PROJECT Workshop : Stochastic Neural
    Computation},
      year = {2014},
      url =
    {http://flagship.kip.uni-heidelberg.de/jss/Ag?eMAt=38&SgD=x&OutputWithoutTemplate=x&withPagebreak=x&eKn=SComNo27}
    }
    					
    lyesSFN2014 Bachatène, L.; Bharmauria, V.; Cattan, S.; Chanauria, N.; Rouat, J. & Molotchnikoff, S. SFN Plasticity in the visual cortex: Emergence of new orientation maps 2014 (819.10/FF28) Annual Meeting of the Society for Neuroscience, selected Hot Topic   conference
    BibTeX:
    @conference{lyesSFN2014,
      author = {Lyes Bachatène and Vishal Bharmauria and Sarah Cattan
    and Nayan Chanauria and Jean Rouat and St'ephane Molotchnikoff},
      title = {Plasticity in the visual cortex: Emergence of new orientation
    maps},
      booktitle = {Annual Meeting of the Society for Neuroscience, selected
    Hot Topic},
      year = {2014},
      number = {819.10/FF28},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=dd55a0b2-d132-4e7a-b447-254552ed93ad&cKey=ac94631c-bc80-446f-a7a7-351c68d0b52e&mKey=54c85d94-6d69-4b09-afaa-502c0e680ca7}
    }
    					
    NayanSFN2014 Chanauria, N.; Bharmauria, V.; Bachatène, L.; Cattan, S.; Rouat, J. & Molotchnikoff, S. SFN Comparative effects of adaptation on supra- and infra-granular layers in cat?s visual cortex 2014 (819.19/GG5) Annual Meeting of the Society for Neuroscience   conference
    BibTeX:
    @conference{NayanSFN2014,
      author = {Nayan Chanauria and Vishal Bharmauria and Lyes
    Bachatène and Sarah Cattan and Jean Rouat and St'ephane
    Molotchnikoff},
      title = {Comparative effects of adaptation on supra- and infra-granular
    layers in cat?s visual cortex},
      booktitle = {Annual Meeting of the Society for Neuroscience},
      year = {2014},
      number = {819.19/GG5},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=dd55a0b2-d132-4e7a-b447-254552ed93ad&cKey=5ddabac7-c636-49d9-9616-9853f857394b&mKey=54c85d94-6d69-4b09-afaa-502c0e680ca7}
    }
    					
    adeliICAD2014 Adeli, M.; Rouat, J. & Molotchnikoff, S. On the importance of correspondence between shapes and timbre 2014 Int. Conf. on Auditory Display   inproceedings
    Abstract: The results of a preliminary study of the audio-visual correspondence between musical timbre and visual shapes are reported. 22 participants had to play 20 musical sounds and choose a shape for each. An association between timbre and visual shapes emerged. Soft timbres seem to match with rounded shapes, harsh timbres with sharp angular shapes and timbres having elements of softness and harshness together with a mixture of the two previous shapes. The correspondence between timbres and shapes should lend itself to the development of perceptually supported musical interfaces and substitution systems. A larger scale experiment with more sounds and participants is underway and confirms the preliminary results reported in this paper.
    BibTeX:
    @inproceedings{adeliICAD2014,
      author = {Mohammad Adeli and Jean Rouat and St/'ephane Molotchnikoff},
      title = {On the importance of correspondence between shapes and timbre},
      booktitle = {Int. Conf. on Auditory Display},
      year = {2014},
      url = {http://steinhardt.nyu.edu/icad2014/conferenceprogram}
    }
    					
    rouatICAD2014 Rouat, J.; Lescal, D. & Wood, S. Handheld device for substitution from vision to audition 2014 Int. Conf. on Auditory Display   inproceedings
    Abstract: Sensorial substitution has great potential in rehabilitation, education, games, and in the creation of music and art. Current technologies allow us to develop sensorial substitution and sonification systems that would not have been imaginable two decades ago. It is desirable to let a large audience use and test sonification systems to provide feedback and improve their design. Handheld devices like smartphones or tablets include network connectivity (WIFI and/or Cellular radio) that can be used to transmit anonymous information about the configuration and strategies adopted by users. It is now feasible to obtain feedback from any user of substitution and sonification technology and not only from a limited number of subjects in the laboratory. Testing in the field with a large number of users is now possible thanks to telecommunication networks and machine learning tools to analyze big data. This work presents a handheld implementation of a simple video sonification system designed to test the acceptability of vision to audition substitution systems and in the near future to provide feedback from users. A first beta version was publicly released in November 2013 as an iOS application for large scale testing. The extended abstract introduces the interface and the underlying technology.
    BibTeX:
    @inproceedings{rouatICAD2014,
      author = {Jean Rouat and Damien Lescal and Sean Wood},
      title = {Handheld device for substitution from vision to audition},
      booktitle = {Int. Conf. on Auditory Display},
      year = {2014},
      url = {http://steinhardt.nyu.edu/icad2014/conferenceprogram}
    }
    					
    jeanChistera2014 Rouat, J. Robust Auditory Scene Analysis in interaction with sensory-motor modalities for Human Language Understanding 2014 CHIST-ERA Conference 2014   conference
    Abstract: Most Human Language Understanding systems are based on statistical and machine learning pattern matching technics either implemented as graphical models (HMM, Language models, etc.) or as formal neural networks encoding the firing rate of neurons (convolutive N.N., deep N.N., Boltzmann N.N., etc.). Impressive practical classification and pattern matching results can now be reach thanks to recent developments in computing power and hardware implementations, notably on GPU (Graphical Processing Units).

    Human communication through language is essential to our survival and is in strong interaction with motricity, vision, emotion, etc. Abstract interpretation of the acoustical signal (semantic, emotion, etc.) requires the use of most areas of our brain (motor, visual, planning, ? areas). One of the striking performance of the brain is the auditory scene analysis and the capacity to decompose auditory scenes into auditory streams and objects. The most common known application of the auditory scene is the cocktail party effect, that is in practice only a side effect of a more complex and general process that implies our multisensory brain. In fact, auditory scene analysis is also fundamental to the acquisition of a new language and to the understanding of speech and sounds. Our ability to analyse auditory scenes by integration of visual and motor feedbacks is fundamental to our build up of human language understanding. Taking into account these feedbacks and these multisensory interactions for better human language understanding and acquisition systems cannot be reduced to pattern matching or classification algorithms. Dynamic feedbacks, active cochlea, attentional processes, anticipation, intention, planning,? occurring in the multisensory brain have to be taken into account and implemented for better auditory scene analysis modules that are part of human language understanding systems.

    I discusse potential research directions and solutions to the design of better human language understanding systems that comprise robust auditory scene analysis modules in interaction with other sensory-motor modalities of our brain. Software and hardware implementations in relation with state of the art machine learning and NPU (Neural Processing Units) are also discussed.

    BibTeX:
    @conference{jeanChistera2014,
      author = {Jean Rouat},
      title = {Robust Auditory Scene Analysis in interaction with
    sensory-motor modalities for Human Language Understanding},
      booktitle = {CHIST-ERA Conference 2014},
      year = {2014},
      url =
    {http://conference2014.chistera.eu/communications?field_speaker_nature_tid=7&field_speaker_topic_tid=11&page=1}
    }
    					
    rouat2014auditory Rouat, J., Brodeur, S. and Plourde, É. Auditory object feature maps with a hierarchical network of independent components? 2014 BMC Neuroscience, Vol. 15 (Suppl. 1), pp. 66. conference
    Abstract: Auditory Object representation in the brain is still a controversial question [1,2]. Kumar et al. [3] discuss the hierarchical organization for auditory object perception and observe that the Planum Temporale (PT) area of the cortex encodes invariant representations of the spectral envelops of sounds. Many other studies find maps of representations elsewhere in the brain (Cochlear Nucleus, Inferior Nucleus, etc.). Sparse representations with minimum overlap could be considered, according to Barlow [4]. Griffiths and Warren [5] propose that auditory object representations might be segmented or segregated in the Planum Temporal (PT) by increasing the independence between the neural activities. We therefore explore the potential of a hierarchical neural assembly - with the use of a computer simulation - whose layers increase the feature independence during training, to represent auditory object parts. It is observed that learned features are organized into non-overlapping maps (Figure 1) and that redundancy of the representation is in fact reduced. Learning was done on three categories of sounds having distinct acoustical statistics: speech, music and natural sounds. We observed that the learned feature maps are very different from one sound category to another and might be, to some extend, comparable to receptive fields measured in the brain. We discuss of their potential similarity with receptive fields measured in the Inferior Colliculus of the Guinea Pig and how they might be part of a representation of auditory objects in the brain.
    BibTeX:
    @article{rouat2014auditory,
      author = {Rouat, Jean and Brodeur, Simon and Plourde, Éric},
      title = {Auditory object feature maps with a hierarchical network of
    independent components?},
      journal = {BMC Neuroscience},
      publisher = {BioMed Central Ltd},
      year = {2014},
      volume = {15},
      number = {Suppl 1},
      pages = {P66},
      url = {http://www.biomedcentral.com/1471-2202/15/S1/P66/},
      doi = {http://dx.doi.org/10.1186/1471-2202-15-S1-P66}
    }
    					
    adeliFrontiers2014 Adeli, M.; Rouat, J. & Molotchnikoff, S. Audiovisual correspondance between Musical timbre and Visual shapes 2014 Frontiers in Human Neuroscience
    Vol. 8  
    article color,pitch,sensory substitution,synesthesia,timbre,audiovisual correspondences,shapes
    Abstract: This article investigates the cross-modal correspondences between musical timbre and shapes. Previously, such features as pitch, loudness, light intensity, visual size, and color characteristics have mostly been used in studies of audio-visual correspondences. Moreover, in most studies, simple stimuli e.g. simple tones have been utilized. In this experiment, 23 musical sounds varying in fundamental frequency and timbre but fixed in loudness were used. Each sound was presented once against colored shapes and once against grayscale shapes. Subjects had to select the visual equivalent of a given sound i.e. its shape, color (or grayscale) and vertical position. This scenario permitted studying the associations between normalized timbre and visual shapes as well as some of the previous findings for more complex stimuli. 119 subjects (31 females and 88 males) participated in the online experiment. Subjects included 36 claimed professional musicians, 47 claimed amateur musicians and 36 claimed non-musicians. 31 subjects have also claimed to have synesthesia-like experiences. A strong association between timbre of envelope normalized sounds and visual shapes was observed. Subjects have strongly associated soft timbres with blue, green or light gray rounded shapes, harsh timbres with red, yellow or dark gray sharp angular shapes and timbres having elements of softness and harshness together with a mixture of the two previous shapes. Color or grayscale had no effect on timbre-shape associations. Fundamental frequency was not associated with height, grayscale or color. The significant correspondence between timbre and shape revealed by the present work allows designing substitution systems which might help the blind to perceive shapes through timbre.
    BibTeX:
    @article{adeliFrontiers2014,
      author = {Mohammad Adeli and Jean Rouat and St'ephane Molotchnikoff},
      title = {Audiovisual correspondance between Musical timbre and Visual
    shapes},
      journal = {Frontiers in Human Neuroscience},
      year = {2014},
      volume = {8},
      url =
    {http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00352/abstract},
      doi = {http://dx.doi.org/10.3389/fnhum.2014.00352}
    }
    					
    vishalJournalNeuroscience2014 Bharmauria, V.; Bachatene, L.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Synergistic activity between primary visual neurons 2014 Neuroscience
    Vol. 268 (0) , pp. 255-264  
    article inter-neural relationships, primary visual cortex, functional network, microcircuit, synergy
    BibTeX:
    @article{vishalJournalNeuroscience2014,
      author = {Bharmauria, Vishal and Bachatene, Lyes and Cattan, Sarah and
    Rouat, Jean and Molotchnikoff, Stéphane},
      title = {Synergistic activity between primary visual neurons},
      journal = {Neuroscience},
      year = {2014},
      volume = {268},
      number = {0},
      pages = {255--264},
      url =
    {http://www.sciencedirect.com/science/article/pii/S0306452214002401},
      doi = {http://dx.doi.org/10.1016/j.neuroscience.2014.03.027}
    }
    					
    Tremblay-Boucher2013 Tremblay-Boucher, V. FLCAA : Système de codage parcimonieux et d'analyse perceptuelle des signaux sonores en temps réel 2013 School: Université de Sherbrooke   mastersthesis composition musicale, analyse perceptuelle, synthèse bio-inspiré, temps réel, signaux sonores, banc de filtres cochléaires, inhibition, codage parcimonieux
    Abstract: Ce mémoire débute par un survol de l'état de l'art des méthodes de compositions musicales assistées par ordinateur (MCMAO). À l'aide d'un ensembles critères permettant l'évalua- tion des méthodes de compositions musicales assistées par ordinateur, on identifie une technique particulièrement prometteuse. Il s'agit d'un compositeur statistique, présenté par Hoffman et al. en 2008, utilisant les "mel-frequecy cepstral coeffcients" (MFCC), un prétraitement inspiré des techniques en reconnaissance de parole. Toutefois, cette tech- nique présente diverses limitations, comme la qualité de reconstruction des signaux, qui l'empêche d'être utilisée pour composer de la musique utilisable professionnellement. Ainsi, ce mémoire tente de bonifier la méthode de composition musicale assistée par ordinateur de Hoffman et al. en remplacant la technique MFCC d'analyse/synthèse du signal par une technique novatrice d'analyse/synthèse des signaux sonores nommée "Fast Locally competitive algorithm for audio" (FLCAA). Celle-ci permet une analyse perceptuelle par- cimonieuse, en temps réel, ayant une bonne résolution fréquencielle et une bonne résolution temporelle. De plus le FLCAA permet une reconstruction robuste de bonne qualité éga- lement en temps réel. L'analyse est constituée de deux parties distinctes. La première consiste à utiliser un prétraitement inspiré de l'audition pour transformer le signal sonore afin d'obtenir une représentation cochléaire. Concrètement, la transformation d'analyse est accomplie à l'aide d'un filtrage par banc de filtres cochléaires combiné à un méca- nisme de fenêtre coulissante. Le banc de filtres utilisé est composé de filtres cochléaires passe-bande à réponse impulsionnelle finie, de type "rounded exponential" (RoExp). La deuxième étape consiste à coder la représentation cochléaire de manière parcimonieuse afin d'augmenter la résolution spatiale et temporelle pour mettre en évidence certaines carac- téristiques du signal comme les fréquences fondamentales, l'information contenue dans les basses fréquences et les signaux transitoires. Cela est fait, en intégrant un réseau de neu- rones (nommé LCA) utilisant les mécanismes d'inhibition latérale et de seuillage. À partir des coeffcients de la représentation perceptuelle, il est possible d'effectuer la transforma- tion de synthèse en utilisant une technique de reconstruction novatrice qui est expliqué en détail dans ce mémoire.
    BibTeX:
    @mastersthesis{Tremblay-Boucher2013,
      author = {Vincent Tremblay-Boucher},
      title = {FLCAA : Système de codage parcimonieux et d'analyse
    perceptuelle des signaux sonores en temps réel},
      school = {Université de Sherbrooke},
      year = {2013}
    }
    					
    adeliSFN2013 Adeli, M.; Molotchnikoff, S. & Rouat, J. Can non-synesthetes associate musical timbre with shapes? 2013 Society for Neurosciences annual meeting
    357.09/UU26  
    conference
    BibTeX:
    @conference{adeliSFN2013,
      author = {Mohammad Adeli and Stéphane Molotchnikoff and Jean
    Rouat},
      title = {Can non-synesthetes associate musical timbre with shapes?},
      booktitle = {Society for Neurosciences annual meeting
    357.09/UU26}, year = {2013} }
    brodeurCaa2013 Brodeur, S. & Rouat, J. Auditory Objects: A Bio-Inspired, Hierarchical and Sparse High Dimensional Representation for use in Recognition 2013 Canadian acoustics / Acoustique canadienne
    Vol. 41 (2)  
    Invited paper
    In French: Objets Sonores: Une Représentation Bio-Inspirée, Hiérarchique, Parcimonieuse à Très Grandes Dimensions Utilisable En Reconnaissance
    article, arXiv:1311.5924
    BibTeX:
    @article{brodeurCaa2013,
      author = {Simon Brodeur and Jean Rouat},
      title = {Objets Sonores: Une Représentation Bio-Inspirée, Hiérarchique,
    Parcimonieuse À Très Grandes Dimensions Utilisable En Reconnaissance},
      journal = {Canadian acoustics / Acoustique canadienne},
      year = {2013},
      volume = {41},
      number = {2}
      url= {http://jcaa.caa-aca.ca/index.php/jcaa/article/view/2617/2347},
    }
    					
    brodeurNOLISP2013 Brodeur, S. & Rouat, J. Robust Hierarchical and Sparse Representation of Natural Sounds in High-Dimensional Space 2013
    Vol. 7911 Proc. of NOLISP, Lecture Notes in Artificial Intelligence, Springer , pp. 152-159  
    conference
    BibTeX:
    @conference{brodeurNOLISP2013,
      author = {Simon Brodeur and Jean Rouat},
      title = {Robust Hierarchical and Sparse Representation of Natural Sounds
    in High-Dimensional Space},
      booktitle = {Proc. of NOLISP, Lecture Notes in Artificial Intelligence,
    Springer},
      publisher = {Springer},
      year = {2013},
      volume = {7911},
      pages = {152--159},
      url = {http://link.springer.com/chapter/10.1007%2F978-3-642-38847-7_20},
      doi = {http://dx.doi.org/10.1007/978-3-642-38847-7_20}
    }
    					
    seeDifferentlyPatent2013 Rouat, J. & Lescal, D. System And Method For Object Based Image Scene Analysis And Conversion Into A 3D Auditory Scene 2013
    Provisional US Patent, 61/826,283, 22 May 2013  
    US patent
    BibTeX:
    @PATENT{seeDifferentlyPatent2013,
      nationality = {US},
      number = {61/826,283},
      yearfiled = {2013},
      author = {Jean Rouat and Damien Lescal},
      title = {System And Method For Object Based Image Scene Analysis And
    Conversion
    	Into A 3D Auditory Scene},
      language = {English},
      type = {Provisional},
      dayfiled = {22 May 2013}
    }
    
    					
    caronNN2013FinalVersion Caron, L.-C.; D'Haene, M.; Mailhot, F.; Schrauwen, B. & Rouat, J. Event management for large scale event-driven digital hardware spiking neural networks 2013 Neural Networks, ELSEVIER
    Vol. 45 (0) Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems , pp. 83-93 Available online 6 March 2013:http://www.sciencedirect.com/science/article/pii/S0893608013000464 
    article, arXiv:1304.0640 neuromorphic engineering, field-programmable gate array, pipelined heap queue, event-driven simulation, spiking neural network
    Abstract: Abstract The interest in brain-like computation has led to the design of a plethora of innovative neuromorphic systems. Individually, spiking neural networks (SNNs), event-driven simulation and digital hardware neuromorphic systems get a lot of attention. Despite the popularity of event-driven SNNs in software, very few digital hardware architectures are found. This is because existing hardware solutions for event management scale badly with the number of events. This paper introduces the structured heap queue, a pipelined digital hardware data structure, and demonstrates its suitability for event management. The structured heap queue scales gracefully with the number of events, allowing the efficient implementation of large scale digital hardware event-driven SNNs. The scaling is linear for memory, logarithmic for logic resources and constant for processing time. The use of the structured heap queue is demonstrated on a field-programmable gate array (FPGA) with an image segmentation experiment and a SNN of 65536 neurons and 513 184 synapses. Events can be processed at the rate of 1 every 7 clock cycles and a 406×158 pixel image is segmented in 200 ms.
    BibTeX:
    @article{caronNN2013FinalVersion,
      author = {Caron, Louis-Charles and D'Haene, Michiel and Mailhot,
    Frédéric and Schrauwen, Benjamin and Rouat, Jean},
      title = {Event management for large scale event-driven digital hardware
    spiking neural networks},
      booktitle = {Neuromorphic Engineering: From Neural Systems to Brain-Like
    Engineered Systems},
      journal = {Neural Networks, ELSEVIER},
      year = {2013},
      volume = {45},
      number = {0},
      pages = {83--93},
      url = {http://arxiv.org/find/all/1/all:+rouat/0/1/0/all/0/1},
      doi = {http://dx.doi.org/10.1016/j.neunet.2013.02.005}
    }
    					
    caronNeuComp2013 Caron, L.-C.; D'Haene, M.; Mailhot, F.; Schrauwen, B. & Rouat, J. Event management for large scale event-driven digital hardware spiking neural networks 2013 International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)   conference
    BibTeX:
    @conference{caronNeuComp2013,
      author = {Louis-Charles Caron and Michiel D'Haene and
    Frédéric Mailhot and Benjamin Schrauwen and Jean Rouat},
      title = {Event management for large scale event-driven digital hardware
    spiking neural networks},
      booktitle = {International Workshop on Neuromorphic and Brain-Based
    Computing Systems (NeuComp 2013)},
      year = {2013},
      url = {http://www-labsticc.univ-ubs.fr/~coussy/neucomp2013/}
    }
    					
    erfani2013 Erfani, Y.; Pichevar, R. & Rouat, J. IEEE (Hrsg.) Audio Tampering Localization Using Modified ISS Watermarking in Sparse-Domain 2013 Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE   conference
    Abstract: This paper presents a blind audio tampering localization method in the perceptual sparse domain using a novel Modified Improved
    Spread Spectrum (MISS) watermarking approach. Current methods of audio authentication lack the ability to localize the tampered part of the audio in the presence of desynchronization attacks such as time shifting, scaling, etc.
    Our proposed method is able to localize the highly modified parts and then self-synchronize.
    To achieve this goal, Perceptual Matching Pursuit (PMP) is used to compute a sparse and time-shift invariant representation of audio signals as well as 2-D masking thresholds. Then authentication code is inserted as a hidden watermark inside the sparse coefficient. To localize the tampered part of audio, the presence of watermark is detected inside the frames of input signal. To guarantee the high quality of watermarked audio, the watermark data is shaped by masking thresholds. To guarantee the high capacity required for watermark insertion, we propose a new version of improved spread spectrum watermarking which we call MISS. In comparison to the conventional methods, experiments confirm the superiority of our approach in localizing the tampered parts of the audio and also confirm the high capacity of MISS signature insertion while preserving good audio quality.
    BibTeX:
    @INPROCEEDINGS{erfaniGlobalSIP2013,
      author = {Erfani, Yousof and Pichevar, Ramin and Rouat, Jean},
      title = {Audio tampering localization using modified iss watermarking in
    sparse-domain},
      booktitle = {Global Conference on Signal and Information Processing
    (GlobalSIP),
    	2013 IEEE},
      year = {2013},
      pages = {249--252},
      abstract = {This paper presents a blind audio tampering localization
    method in
    	the perceptual sparse domain using a novel Modified Improved Spread
    	Spectrum (MISS) watermarking approach. Current methods of audio
    authentication
    	lack the ability to localize the tampered part of the audio in the
    	presence of desynchronization attacks such as time shifting, scaling,
    	etc. Our proposed method is able to localize the highly modified
    	parts and then self-synchronize. To achieve this goal, Perceptual
    	Matching Pursuit is used to compute a sparse and time-shift invariant
    	representation of audio signals as well as 2-D masking thresholds.
    	Then authentication code is inserted as a hidden watermark inside
    	the sparse coefficient. To localize the tampered part of audio, the
    	presence of watermark is detected inside the frames of input signal.
    	To guarantee the high quality of watermarked audio, the watermark
    	data is shaped by masking thresholds. To achieve high capacity, we
    	propose a modified version of improved spread spectrum watermarking.
    	In comparison to the conventional methods, experiments confirm the
    	superiority of our approach in localizing the tampered parts of the
    	audio and also confirm the high capacity of MISS signature insertion
    	while preserving good audio quality.},
      doi = {http://dx.doi.org/10.1109/GlobalSIP.2013.6736862},
      file = {:ErfaniPichevarRouatGloabalSIP2013.pdf:PDF},
      keywords = {Authentication, Decoding, Dictionaries, Matching pursuit
    algorithms,
    	Robustness, Synchronization, Watermarking}
    }
    
    					
    lescalASA2013 Lescal, D.; Rouat, J. & Voix, J. ASA (Hrsg.) ASA Sensorial substitution system from vision to audition using transparent digital earplugs 2013
    Vol. 19 Proceedings of Meetings on Acoustics , pp. 040014  
    conference
    Abstract: Since the TVSS (Tactile Vision Substitution System) developed by Bach-Y-Rita in 1960's, several sensorial substitution systems have been developed. In general, the so-called "sensorial substitution" system transform stimuli characteristic of one sensory modality (for example, vision) into stimuli of another sensory modality (for example, audition). These systems are developed to help handicapped persons. We developed a sensorial substitution system from vision to audition. An artificial neural network is used to identify the important parts in the image. The Virtual Acoustic Space technic is used to generate localizable sounds. A sound is associated to each important parts of the image. The entire real-time system has been implemented on iOS platforms (iPhone/iPad/iPod Touchtrade mark, serif). We associated our system with transparent digital earplugs. This way the user is aware of the audio scene happening around him. The system has been tested on non-blind persons and the results are presented.
    BibTeX:
    @conference{lescalASA2013,
      author = {Damien Lescal and Jean Rouat and Jérémie Voix},
      title = {Sensorial substitution system from vision to audition using
    transparent digital earplugs},
      booktitle = {Proceedings of Meetings on Acoustics},
      year = {2013},
      volume = {19},
      pages = {040014},
      url =
    {http://asadl.org/poma/resource/1/pmarcw/v19/i1/p040014_s1?bypassSSO=1},
      doi = {http://dx.doi.org/10.1121/1.4799670}
    }
    					
    RNSpikesUS2013 Rouat, J.; Pichevar, R.; Loiselle, S.; Le, T.; Hoang, A.; Lavoie, J. & Bergeron, J. Spatio-Temporal Pattern Recognition Using A Spiking Neural Network And Processing Thereof On A Portable And/Or Distributed Computer 2013 (8346692) , US Patent   US patent
    BibTeX:
    @patent{RNSpikesUS2013,
      author = {Jean Rouat and Ramin Pichevar and Stéphane Loiselle and Tai Le
    and Anh Hoang and Jean Lavoie and Jocely Bergeron},
      title = {Spatio-Temporal Pattern Recognition Using A Spiking Neural
    Network And Processing Thereof On A Portable And/Or Distributed Computer},
      year = {2013},
      number = {8346692},
      url =
    {http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=8346692&OS=8346692&RS=8346692}
    }
    					
    bachateneNeuroReport2012 Bachatene, L.; Bharmauria, V.; Rouat, J. & Molotchnikoff, S. Adaptation-induced plasticity and spike-waveforms in cat visual cortex 2012 NeuroReport
    Vol. 23 , pp. 88-92  
    article
    BibTeX:
    @article{bachateneNeuroReport2012,
      author = {Lyes Bachatene and Vishal Bharmauria and Jean Rouat and
    Stéphane Molotchnikoff},
      title = {Adaptation-induced plasticity and spike-waveforms in cat visual
    cortex},
      journal = {NeuroReport},
      year = {2012},
      volume = {23},
      pages = {88--92},
      url =
    {http://journals.lww.com/neuroreport/Abstract/2012/01250/Adaptation_induced_plasticity_and_spike_waveforms.7.aspx},
      doi = {http://dx.doi.org/10.1097/WNR.0b013e32834e7e71}
    }
    					
    BachateneSFN2012 Bachatene, L.; Bharmauria, V.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Serotonin and fluoxetine increase adaptation-induced orientation plasticity in adult cats visual cortex 2012 Society for Neurosciences annual meeting , pp. 572.09   conference
    BibTeX:
    @conference{BachateneSFN2012,
      author = {Lyes Bachatene and Vishal Bharmauria and Sarah Cattan and Jean
    Rouat and Stéphane Molotchnikoff},
      title = {Serotonin and fluoxetine increase adaptation-induced
    orientation plasticity in adult cats visual cortex},
      booktitle = {Society for Neurosciences annual meeting},
      year = {2012},
      pages = {572.09},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=080529e4-b28c-45c0-9c78-317a4cb68dcb&cKey=aa5e5e2e-f77d-4a49-acfc-6acacfc70fb5&mKey=%7b70007181-01C9-4DE9-A0A2-EEBFA14CD9F1%7d}
    }
    					
    BharmauriaSFN2012 Bharmauria, V.; Bachatene, L.; Cattan, S.; Rouat, J. & Molotchnikoff, S. Network-selectivity between primary visual cortical neurons: connectome dynamics 2012 Society for Neurosciences annual meeting , pp. 572.07   conference
    BibTeX:
    @conference{BharmauriaSFN2012,
      author = {Vishal Bharmauria and Lyes Bachatene and Sarah Cattan and Jean
    Rouat and Stéphane Molotchnikoff},
      title = {Network-selectivity between primary visual cortical neurons:
    connectome dynamics},
      booktitle = {Society for Neurosciences annual meeting},
      year = {2012},
      pages = {572.07},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=080529e4-b28c-45c0-9c78-317a4cb68dcb&cKey=cecdb917-9f05-4890-9f28-813f8da21dd4&mKey=%7b70007181-01C9-4DE9-A0A2-EEBFA14CD9F1%7d}
    }
    					
    brodeurECCS2012 Brodeur, S. & Rouat, J. Regulation toward Self-Organized Criticality in a Recurrent Spiking Neural Reservoir 2012 European Conference on Complex Systems, Satellite meeting on Information Processing with Recurrent Dynamical Systems: Theory and Experiment   conference
    BibTeX:
    @conference{brodeurECCS2012,
      author = {Simon Brodeur and Jean Rouat},
      title = {Regulation toward Self-Organized Criticality in a Recurrent
    Spiking Neural Reservoir},
      booktitle = {European Conference on Complex Systems, Satellite meeting
    on Information Processing with Recurrent Dynamical Systems: Theory and
    Experiment},
      year = {2012},
      note =
    {RegulationTowardSelfOrganizedCriticalityInaRecurrentSpikingNeuralReservoirBrodeurRouatSlidesECCS2012.pdf},
      url = {http://www.ulb.ac.be/polytech/spg/Satellite-Program.pdf}
    }
    					
    brodeurICANN2012 Brodeur, S. & Rouat, J. Springer (Hrsg.) Regulation toward Self-Organized Criticality in a Recurrent Spiking Neural Reservoir 2012 int. Conf. on Artificial Neural Networks , pp. 547-554   inproceedings
    BibTeX:
    @inproceedings{brodeurICANN2012,
      author = {Simon Brodeur and Jean Rouat},
      title = {Regulation toward Self-Organized Criticality in a Recurrent
    Spiking Neural Reservoir},
      booktitle = {int. Conf. on Artificial Neural Networks},
      year = {2012},
      pages = {547-554},
      note = {poster_ICANN2012SimonBrodeurJeanRouatUdeSherbrooke.pdf},
      url = {www.springerlink.com}
    }
    					
    brodeurSFN2012 Brodeur, S.; Bharmauria, V.; Bachatene, L.; Rouat, J. & Molotchnikoff, S. Investigating functional connectivity maps through simulation of cortical networks 2012 Society for Neurosciences annual meeting , pp. 572.06   conference
    BibTeX:
    @conference{brodeurSFN2012,
      author = {Simon Brodeur and Vishal Bharmauria and Lyes Bachatene and
    Jean Rouat and Stéphane Molotchnikoff},
      title = {Investigating functional connectivity maps through simulation
    of cortical networks},
      booktitle = {Society for Neurosciences annual meeting},
      year = {2012},
      pages = {572.06},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=080529e4-b28c-45c0-9c78-317a4cb68dcb&cKey=d9118f76-494a-4720-9d85-17d789b59e9d&mKey=%7b70007181-01C9-4DE9-A0A2-EEBFA14CD9F1%7d}
    }
    					
    deladurantayeBookChapter2012 de Ladurantaye, V.; Rouat, J. & Vanden-Abeele, J. INTECH (Hrsg.) Chapter 10 ( Models of Information Processing in the Visual Cortex ) 2012 Models of Information Processing in the Visual Cortex Visual Cortex - Current Status and Perspectives, Stéphane Molotchnikoff and Jean Rouat (Ed.)   inbook
    Abstract: In the most general meaning of the word, a model is a way of representing something of interest. If we ask a biologist to model the visual system, he will probably talk about neurons, dendrites and synapses. On the other hand, if we ask a mathematician to model the visual system, he will probably talk about variables, probabilities and differential equations.
    There are an almost infinite number of ways to model any given system, and this is particularly true if we are interested in something as complex as the human brain, including the visual cortex. It is impossible to review every type of model present in the literature. This chapter does not, by any means, claim to be an accurate review of all the models of vision published so far. Instead, we try to regroup the different types of models into small categories, to give the reader a good overview of what is possible to achieve in terms of modeling biological vision. Each section of the chapter concentrates on one of these categories, begins with an outline of the general properties and goals of the global model category, and then explores different implementation methods (i.e. specific models).
    BibTeX:
    @inbook{deladurantayeBookChapter2012,
      author = {Vincent de Ladurantaye and Jean Rouat and Jacques
    Vanden-Abeele},
      title = {Models of Information Processing in the Visual Cortex},
      booktitle = {Visual Cortex - Current Status and Perspectives,
    Stéphane Molotchnikoff and Jean Rouat (Ed.)},
      year = {2012},
      url =
    {http://www.intechopen.com/books/visual-cortex-current-status-and-perspectives/models-of-information-processing-in-the-visual-cortex},
      doi = {http://dx.doi.org/10.5772/50616}
    }
    					
    deLadurantayePhyhsics2012 de Ladurantaye, V.; Lavoie, J.; Bergeron, J.; Parenteau, M.; Lu, H.; Pichevar, R. & Rouat, J. A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition 2012 Journal of Physics: Conference Series
    Vol. 341 (1) , pp. 012024  
    article
    Abstract: A parallel implementation of a large spiking neural network is proposed and evaluated. The neural network implements the binding by synchrony process using the Oscillatory Dynamic Link Matcher (ODLM). Scalability, speed and performance are compared for 2 implementations: Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA) running on clusters of multicore supercomputers and NVIDIA graphical processing units respectively. A global spiking list that represents at each instant the state of the neural network is described. This list indexes each neuron that fires during the current simulation time so that the influence of their spikes are simultaneously processed on all computing units. Our implementation shows a good scalability for very large networks. A complex and large spiking neural network has been implemented in parallel with success, thus paving the road towards real-life applications based on networks of spiking neurons. MPI offers a better scalability than CUDA, while the CUDA implementation on a GeForce GTX 285 gives the best cost to performance ratio. When running the neural network on the GTX 285, the processing speed is comparable to the MPI implementation on RQCHP's Mammouth parallel with 64 notes (128 cores).
    BibTeX:
    @article{deLadurantayePhyhsics2012,
      author = {Vincent de Ladurantaye and Jean Lavoie and Jocelyn Bergeron
    and Maxime Parenteau and Huizhong Lu and Ramin Pichevar and Jean Rouat},
      title = {A Parallel Supercomputer Implementation of a Biological
    Inspired Neural Network and its use for Pattern Recognition},
      journal = {Journal of Physics: Conference Series},
      year = {2012},
      volume = {341},
      number = {1},
      pages = {012024},
      url = {http://stacks.iop.org/1742-6596/341/i=1/a=012024},
      doi = {http://dx.doi.org/10.1088/1742-6596/341/1/012024}
    }
    					
    lescalISSPA2012 Lescal, D.; Caron, L.-C. & Rouat, J. IEEE (Hrsg.) IEEE Neural Visual Objects Enhancement For Sensorial Substitution from Vision to Audition 2012 IEEE int. Conf. on Information Science, Signal Processing and their Applications   inproceedings
    BibTeX:
    @inproceedings{lescalISSPA2012,
      author = {Damien Lescal and Louis-Charles Caron and Jean Rouat},
      title = {Neural Visual Objects Enhancement For Sensorial Substitution
    from Vision to Audition},
      booktitle = {IEEE int. Conf. on Information Science, Signal Processing
    and their Applications},
      year = {2012},
      note = {poster_IEEE_ISSPA2012LescalCaronRouat.pdf},
      url =
    {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6310449&tag=1}
    }
    					
    molotchnikoffFrontiers2011 Molotchnikoff, S. & Rouat, J. Brain at work: Time, Sparseness and Superposition Principles 2012 Frontiers in Bioscience (Landmark Edition)
    Vol. 17 (1) , pp. 583-606  
    article
    Abstract: Many studies explored mechanisms through which the brain encodes sensory inputs allowing a coherent behavior. The brain could identify stimuli via a hierarchical stream of activity leading to a cardinal neuron responsive to one particular object. The opportunity to record from numerous neurons offered investigators the capability of examining simultaneously the functioning of many cells. These approaches suggested encoding processes that are parallel rather than serial. Binding the many features of a stimulus may be accomplished through an induced synchronization of cell's action potentials. These interpretations are supported by experimental data and offer many advantages but also several shortcomings. We argue for a coding mechanism based on a sparse synchronization paradigm. We show that synchronization of spikes is a fast and efficient mode to encode the representation of objects based on feature bindings. We introduce the view that sparse synchronization coding presents an interesting venue in probing brain encoding mechanisms as it allows the functional establishment of multi-layered and time-conditioned neuronal networks or multislice networks. We propose a model based on integrate-and-fire spiking neurons.
    BibTeX:
    @article{molotchnikoffFrontiers2011,
      author = {Stéphane Molotchnikoff and Jean Rouat},
      title = {Brain at work: Time, Sparseness and Superposition Principles},
      journal = {Frontiers in Bioscience (Landmark Edition)},
      year = {2012},
      volume = {17},
      number = {1},
      pages = {583-606},
      note =
    {http://www.bioscience.org/2012/v17/af/3946/fulltext.asp?bframe=PDFII&doi=yes},
      url = {http://www.bioscience.org/2012/v17/af/3946/list.htm},
      doi = {http://dx.doi.org/10.2741/3946}
    }
    					
    patentStructures2012 Rouat, J.; Bergeron, J.; Caron, L.-C.; de Ladurantaye, V. & Mailhot, F. Method, system and aggregation engine for providing structural representations of physical entities 2012 PCT/CA2012/000550  Patent
    BibTeX:
    @patent{patentStructures2012,
      author = {Jean Rouat and Jocelyn Bergeron and Louis-Charles Caron and
    Vincent de Ladurantaye and Frédéric Mailhot},
      title = {Method, system and aggregation engine for providing structural
    representations of physical entities},
      year = {2012},
      url =
    {http://patentscope.wipo.int/search/en/detail.jsf?docId=WO2012167359&recNum=75&maxRec=43475&office=&prevFilter=&sortOption=&queryString=robotics&tab=PCT+Biblio}
    }
    					
    seyedinISSPA2012 Seyedin, S.; Pichevar, R. & Rouat, J. IEEE (Hrsg.) Discriminative sparse-based Feature extraction and Dictionary Learning for Sound Classification Applications 2012 iIEEE nt. Conf. on Information Science, Signal Processing and their Applications   inproceedings
    BibTeX:
    @inproceedings{seyedinISSPA2012,
      author = {Sanaz Seyedin and Ramin Pichevar and Jean Rouat},
      title = {Discriminative sparse-based Feature extraction and Dictionary
    Learning for Sound Classification Applications},
      booktitle = {iIEEE nt. Conf. on Information Science, Signal Processing
    and their Applications},
      publisher = {IEEE},
      year = {2012},
      url =
    {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6310500&tag=1}
    }
    					
    vincentSFN2012 de Ladurantaye, V.; Rouat, J. & Molotchnikoff, S. Object perception using biologically realistic binding by synchrony 2012 Society for Neurosciences annual meeting , pp. 712.06   conference
    BibTeX:
    @conference{vincentSFN2012,
      author = {Vincent de Ladurantaye and Jean Rouat and Stéphane
    Molotchnikoff},
      title = {Object perception using biologically realistic binding by
    synchrony},
      booktitle = {Society for Neurosciences annual meeting},
      year = {2012},
      pages = {712.06},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=7b20b1ce-cfbf-44ca-9faa-3565338bdec5&cKey=d24a5b0e-5938-44e9-865a-5926d1898ce8&mKey=%7b70007181-01C9-4DE9-A0A2-EEBFA14CD9F1%7d}
    }
    					
    visualCortexIntech2012 Molotchnikoff, S. & Rouat, J. Visual Cortex - Current Status and Perspectives 2012
    Vol. ISBN: 980-953-307-044-0 , pp. 18 chapters  
    book
    Abstract: The neurosciences have experienced tremendous and wonderful progress in many areas, and the spectrum encompassing the neurosciences is expansive. Suffice it to mention a few classical fields: electrophysiology, genetics, physics, computer sciences, and more recently, social and marketing neurosciences. Of course, this large growth resulted in the production of many books. Perhaps the visual system and the visual cortex were in the vanguard because most animals do not produce their own light and offer thus the invaluable advantage of allowing investigators to conduct experiments in full control of the stimulus. In addition, the fascinating evolution of scientific techniques, the immense productivity of recent research, and the ensuing literature make it virtually impossible to publish in a single volume all worthwhile work accomplished throughout the scientific world. The days when a single individual, as Diderot, could undertake the production of an encyclopedia are gone forever. Indeed most approaches to studying the nervous system are valid and neuroscientists produce an almost astronomical number of interesting data accompanied by extremely worthy hypotheses which in turn generate new ventures in search of brain functions. Yet, it is fully justified to make an encore and to publish a book dedicated to visual cortex and beyond. Many reasons validate a book assembling chapters written by active researchers. Each has the opportunity to bind together data and explore original ideas whose fate will not fall into the hands of uncompromising reviewers of traditional journals. This book focuses on the cerebral cortex with a large emphasis on vision. Yet it offers the reader diverse approaches employed to investigate the brain, for instance, computer simulation, cellular responses, or rivalry between various targets and goal directed actions. This volume thus covers a large spectrum of research even though it is impossible to include all topics in the extremely diverse field of neurosciences.
    BibTeX:
    @book{visualCortexIntech2012,
      author = {Stéphane Molotchnikoff and Jean Rouat},
      title = {Visual Cortex - Current Status and Perspectives},
      publisher = {Intech},
      year = {2012},
      volume = {ISBN: 980-953-307-044-0},
      pages = {18 chapters},
      url =
    {http://www.intechopen.com/books/visual-cortex-current-status-and-perspectives}
    }
    					
    bachateneSFN2011 Bachatene, L.; Rouat, J. & Molotchnikoff, S. Influence of Serotonin on the Orientation Tuning Curves in V1 of Cats Following Adaptation 2011 Proc. Soc. of Neuroscience   inproceedings
    BibTeX:
    @inproceedings{bachateneSFN2011,
      author = {Lyes Bachatene and Jean Rouat and Stéphane Molotchnikoff},
      title = {Influence of Serotonin on the Orientation Tuning Curves in V1
    of Cats Following Adaptation},
      booktitle = {Proc. Soc. of Neuroscience},
      year = {2011},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=c9f41d28-ec2f-4a50-9edc-7c80e3c91b87&cKey=736336f6-193f-4629-ad8d-5d605e9519e2&mKey=%7b8334BE29-8911-4991-8C31-32B32DD5E6C8%7d}
    }
    					
    caronISCAS2011 Caron, L.-C.; Mailhot, F. & Rouat, J. FPGA implementation of a spiking neural network for pattern matching 2011 IEEE Int. Symp. on Circuits and Systems (ISCAS) , pp. 1342   inproceedings
    Abstract: A field programmable gate array (FPGA) implementation of a hardware spiking neural network is presented. The system is able to realize different signal processing tasks using the synchronization of oscillatory leaky integrate and fire neurons. The use of a bit slice architecture and short, local interconnections make it adaptable to projects of various scales. The system is also designed to efficiently process groups of synchronized neurons. A fully connected network of 648 neurons and 419904 synapses is implemented on a stand-alone Xilinx XC5VSX50T FPGA, processing up to 6M spikes/s. We describe the resource usage for the whole system as well as for each functional block, and illustrate the functioning of the circuit on a simple image recognition task.
    BibTeX:
    @inproceedings{caronISCAS2011,
      author = {Louis-Charles Caron and Frédéric Mailhot and Jean Rouat},
      title = {FPGA implementation of a spiking neural network for pattern
    matching},
      booktitle = {IEEE Int. Symp. on Circuits and Systems (ISCAS)},
      year = {2011},
      pages = {1342},
      note =
    {presentation_FPGAImplementationOfSpikingNeuronsISCAS11LCCaronMailhotRouat.pdf},
      url =
    {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5937649&tag=1}
    }
    					
    delisle2011 Delisle, A.; Marchand, J.; Choquet, D.; Plamondon, A.; Gagnon, D.; Choquet, D.; Larivière, C.; Rouat, J. & Michaud, F. Predicting the lumbar moment from trunk kinematics and electromyography: multiple linear regression or artificial neural network? 2011 Proceedings of the International Society of Biomechanics conference (ISB2011)   inproceedings
    BibTeX:
    @inproceedings{delisle2011,
      author = {Alain Delisle and Julien Marchand and Denis Choquet and André
    Plamondon and Denis Gagnon and Denis Choquet and Christian Larivière and
    Jean Rouat and François Michaud},
      title = {Predicting the lumbar moment from trunk kinematics and
    electromyography: multiple linear regression or artificial neural
    network?},
      booktitle = {Proceedings of the International Society of Biomechanics
    conference (ISB2011)},
      year = {2011}
    }
    					
    durantayeHPCS2011 de Ladurantaye, V.; Lavoie, J.; Parenteau, M.; Bergeron, J.; Lu, H.; Pichevar, R. & Rouat, J. A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition 2011 Proc. of High Perform. Comput. Symp. (HPCS)   inproceedings
    BibTeX:
    @inproceedings{durantayeHPCS2011,
      author = {Vincent de Ladurantaye and Jean Lavoie and Maxime Parenteau
    and Jocelyn Bergeron and Huizhong Lu and Ramin Pichevar and Jean Rouat},
      title = {A Parallel Supercomputer Implementation of a Biological
    Inspired Neural Network and its use for Pattern Recognition},
      booktitle = {Proc. of High Perform. Comput. Symp. (HPCS)},
      year = {2011},
      doi = {http://dx.doi.org/10.1088/1742-6596/341/1/012024}
    }
    					
    lescalCAA2011 Lescal, D.; Rouat, J. & Molotchnikoff, S. Sensorial substitution system with encoding of visual objects into sounds 2011 Canadian Acoustics
    Vol. 39 (3) , pp. 106-107  
    article
    BibTeX:
    @article{lescalCAA2011,
      author = {Damien Lescal and Jean Rouat and Stéphane Molotchnikoff},
      title = {Sensorial substitution system with encoding of visual objects
    into sounds},
      journal = {Canadian Acoustics},
      year = {2011},
      volume = {39},
      number = {3},
      pages = {106-107}
    }
    					
    LescalVision2011 Lescal, D.; Rouat, J. & Molotchnikoff, S. Encodage d'une scène visuelle en une scène sonore 2011 Réunion annuelle du Réseau FRSQ de Recherche en Santé de la Vision   conference
    BibTeX:
    @conference{LescalVision2011,
      author = {Damien Lescal and Jean Rouat and Stéphane
    Molotchnikoff},
      title = {Encodage d'une scène visuelle en une scène sonore},
      booktitle = {Réunion annuelle du Réseau FRSQ de Recherche
    en Santé de la Vision},
      year = {2011},
      note = {best student presentation}
    }
    					
    patentStructures2011 Rouat, J.; Bergeron, J.; Caron, L.-C.; de Ladurantaye, V. & Mailhot, F. Method and device for providing structural representations of physical entities 2011 US provisional patent application 61/493,672  patent
    BibTeX:
    @patent{patentStructures2011,
      author = {Jean Rouat and Jocelyn Bergeron and Louis-Charles Caron and
    Vincent de Ladurantaye and Frédéric Mailhot},
      title = {Method and device for providing structural representations of
    physical entities},
      year = {2011}
    }
    					
    rouatIROS2011 Rouat, J.; Loiselle, S. & Molotchnikoff, S. Variable Frame Rate Hierarchical Analysis for Robust Speech Recognition 2011 Proc. of EEE/RSJ Int. Conf. on Intelligent Robots and Systems   inproceedings
    Abstract: A new bio-inspired speech analysis system that extracts acoustical speech events is proposed and used in the design of a variable frame rate (VFR) speech recognizer. The same speech recognizer (Hidden Markov Model -HMM- and Mel Frequency Cepstrum Coefficients -MFCC-) has been used with the proposed VFR analysis and conventional fixed frame rate (FFR) approach. In comparison with other VFR recognizers, the hierarchical features in the proposed system have the potential to serve as classification parameters of a complete bio-inspired speech recognition system. Also, no voice activity detection is required and there are no hard decisions to be taken by the system. Events are used to label and identify the moments at which the acoustical properties of speech are stable or changing. These events are markers on which an analysis window can be positioned to perform the recognition. Inspired by our knowledge of the auditory and visual systems, hierarchical complex features like transients and energy orientation are used. Training has been done on clean speech and recognition on noisy (from 20dB to -10dB Signal to Noise Ratios ?SNR) or reverberated speech by using the TI 46-word database corrupted with 4 noises taken from the Aurora 2 data. In comparison with a FFR recognizer, our VFR system yields more than 50% increase in recognition rates for a speaker independent isolated word recognition task when SNRs are between 0 and 20 dB.
    BibTeX:
    @inproceedings{rouatIROS2011,
      author = {Jean Rouat and Stéphane Loiselle and Stéphane Molotchnikoff},
      title = {Variable Frame Rate Hierarchical Analysis for Robust Speech
    Recognition},
      booktitle = {Proc. of EEE/RSJ Int. Conf. on Intelligent Robots and
    Systems},
      year = {2011},
      note =
    {hierarchicalVariableFrameRateAnalysisRouatLoisellePresentationIRSO2011.pdf},
      url =
    {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6094672&tag=1}
    }
    					
    caronBoston2010 Caron, L.-C.; Mailhot, F. & Rouat, J. Boston University Digital hardware neural network simulator for signal processing based on spike synchronization 2010 Int. Conf. on Cognitive And Neural Systems   inproceedings
    BibTeX:
    @inproceedings{caronBoston2010,
      author = {Louis-Charles Caron and Frédéric Mailhot and Jean Rouat},
      title = {Digital hardware neural network simulator for signal processing
    based on spike synchronization},
      booktitle = {Int. Conf. on Cognitive And Neural Systems},
      year = {2010},
      url = {http://cns.bu.edu/cns-meeting/conference.html}
    }
    					
    deLadurantaye2010 de Ladurantaye, V. & Rouat, J. Boston University Visual objects recognition by temporal association coding of hierarchical features 2010 Int. Conf. on Cognitive And Neural Systems   inproceedings
    BibTeX:
    @inproceedings{deLadurantaye2010,
      author = {Vincent de Ladurantaye and Jean Rouat},
      title = {Visual objects recognition by temporal association coding of
    hierarchical features},
      booktitle = {Int. Conf. on Cognitive And Neural Systems},
      year = {2010},
      url = {http://cns.bu.edu/cns-meeting/conference.html}
    }
    					
    deLadurantayeNIPSDemo2010 de Ladurantaye, V. & Rouat, J. Visual Object Recognition with Convolutional & Spiking N.N.: Test on Traffic Signs 2010 Demonstration at Neural Information Processing Systems   conference
    BibTeX:
    @conference{deLadurantayeNIPSDemo2010,
      author = {Vincent de Ladurantaye and Jean Rouat},
      title = {Visual Object Recognition with Convolutional & Spiking
    N.N.: Test on Traffic Signs},
      booktitle = {Demonstration at Neural Information Processing Systems},
      year = {2010},
      url = {http://nips.cc/Conferences/2010/Program/event.php?ID=2386}
    }
    					
    ezzaidi2010 Ezzaidi, H.; Bahoura, M. & Rouat, J. Singer and music segmentation based on adaptive threshold in Polyphonic Music 2010 IEEE Int. Symp. on Signal Proc. and Info. Techno.   inproceedings
    BibTeX:
    @inproceedings{ezzaidi2010,
      author = {Hassan Ezzaidi and Mohammed Bahoura and Jean Rouat},
      title = {Singer and music segmentation based on adaptive threshold in
    Polyphonic Music},
      booktitle = {IEEE Int. Symp. on Signal Proc. and Info. Techno.},
      year = {2010},
      note = {Luxor, Egypt},
      url = {http://www.isspit.org/isspit/2010/}
    }
    					
    loiselle2010 Loiselle, S. Traitement bio-inspiré de la parole pour système de reconnaissance vocale 2010 School: Université de Sherbrooke   phdthesis
    BibTeX:
    @phdthesis{loiselle2010,
      author = {Stéphane Loiselle},
      title = {Traitement bio-inspiré de la parole pour système de
    reconnaissance vocale},
      school = {Université de Sherbrooke},
      year = {2010}
    }
    					
    parenteauBoston2010 Parenteau, M.; Molotchnikoff, S. & Rouat, J. Boston University Simple audio-visual integration for easy binding 2010 Int. Conf. on Cognitive and Neural Systems   inproceedings
    BibTeX:
    @inproceedings{parenteauBoston2010,
      author = {Maxime Parenteau and Stéphane Molotchnikoff and Jean Rouat},
      title = {Simple audio-visual integration for easy binding},
      booktitle = {Int. Conf. on Cognitive and Neural Systems},
      year = {2010}
    }
    					
    parenteauSFN2010 Parenteau, M.; Wood, S.; Rouat, J. & Molotchnikoff, S. Audio-visual speech integration: How to bring lips and voice to work together 2010 Proc. Soc. Neuroscience   inproceedings
    BibTeX:
    @inproceedings{parenteauSFN2010,
      author = {M. Parenteau And S. Wood And J. Rouat And S. Molotchnikoff},
      title = {Audio-visual speech integration: How to bring lips and voice to
    work together},
      booktitle = {Proc. Soc. Neuroscience},
      year = {2010},
      url =
    {http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=cb4603c7-8647-4398-aa36-f4ac47a9845e&cKey=4c51c558-013d-45e0-8430-075b7d82a32e&mKey=%7bE5D5C83F-CE2D-4D71-9DD6-FC7231E090FB%7d&Sndr=Lgn}
    }
    					
    parenteauSFN2009 Parenteau, M.; Rouat, J. & Molotchnikoff, S. Multisensory coupling between vision and audition and its use for the cocktail party problem 2009 Proc. Soc. Neurosience   inproceedings
    BibTeX:
    @inproceedings{parenteauSFN2009,
      author = {Maxime Parenteau and Jean Rouat and Stéphane Molotchnikoff},
      title = {Multisensory coupling between vision and audition and its use
    for the cocktail party problem},
      booktitle = {Proc. Soc. Neurosience},
      year = {2009},
      note = {Chicago}
    }
    					
    patent:20090287624 Rouat, J.; Pichevar, R.; Loiselle, S.; Le, T.; Hoang, A.; Lavoie, J. & Bergeron, J. Spatio-Temporal Pattern Recognition Using A Spiking Neural Network And Processing Thereof On A Portable And/Or Distributed Computer 2009 (20090287624)   patent
    BibTeX:
    @patent{patent:20090287624,
      author = {Jean Rouat and Ramin Pichevar and Stéphane Loiselle and Tai Le
    and Anh Hoang and Jean Lavoie and Jocely Bergeron},
      title = {Spatio-Temporal Pattern Recognition Using A Spiking Neural
    Network And Processing Thereof On A Portable And/Or Distributed Computer},
      year = {2009},
      number = {20090287624},
      url = {http://www.freepatentsonline.com/y2009/0287624.html}
    }
    					
    bergeron2008 Bergeron, J.; Parenteau, M.; Lavoie, J.; Hoang, H.; Pham, Q.; Pichevar, R.; Rouat, J.; Loiselle, S.; Lapointe, V. & BéŽlanger, J. Biology inspired pattern recognition system using neural oscillations 2008 Show and Tell, IEEE-ICASSP   inproceedings
    BibTeX:
    @inproceedings{bergeron2008,
      author = {J. Bergeron and M. Parenteau and J. Lavoie and H.A. Hoang and
    Q.T. Pham and R. Pichevar and J. Rouat and S. Loiselle and V. Lapointe and
    J. BéŽlanger},
      title = {Biology inspired pattern recognition system using neural
    oscillations},
      booktitle = {Show and Tell, IEEE-ICASSP},
      year = {2008},
      url =
    {http://www.icassp2008.org/Papers/PublicSessionIndex3.asp?Sessionid=1123}
    }
    					
    pichevarIcassp2008 Pichevar, R. & Rouat, J. An Improved Sparse Non-Negative Part-Based Image Coder via Simulated Annealing and Matrix Pseudo-Inverse 2008 IEEE-ICASSP , pp. MLSP-P2.6   inproceedings
    BibTeX:
    @inproceedings{pichevarIcassp2008,
      author = {Ramin Pichevar and Jean Rouat},
      title = {An Improved Sparse Non-Negative Part-Based Image Coder via
    Simulated Annealing and Matrix Pseudo-Inverse},
      booktitle = {IEEE-ICASSP},
      publisher = {IEEE-Press},
      year = {2008},
      pages = {MLSP-P2.6},
      url = {ICASSP2008PosterPichevarRouat.pdf},
      doi =
    {http://dx.doi.org/http://www.icassp2008.org/Papers/PublicSessionIndex3.asp?Sessionid=1123}
    }
    					
    roy2008 Roy, N.; Simard, Y. & Rouat, J. Performance of three acoustical methods for localizing whales in the Saguenay-St. Lawrence marine park 2008 Canadian Acoustics
    Vol. 36 (1) , pp. 160-164  
    article
    BibTeX:
    @article{roy2008,
      author = {Nathalie Roy and Yvan Simard and Jean Rouat},
      title = {Performance of three acoustical methods for localizing whales
    in the Saguenay-St. Lawrence marine park},
      journal = {Canadian Acoustics},
      year = {2008},
      volume = {36},
      number = {1},
      pages = {160--164}
    }
    					
    bergeronIMSI2007 Bergeron, J.; Parenteau, M.; Lavoie, J.; Hoang, H.A.; Loiselle, S.; Pham, Q.; Pichevar, R.; Rouat, J.; Lapointe, V. & Bélanger, J. Système biologique de reconnaissance de formes par oscillations neuronales 2007 Colloque de l'institut des matŽriaux et des systmes intelligents de l'Université de Sherbrooke   conference
    BibTeX:
    @conference{bergeronIMSI2007,
      author = {J. Bergeron and M. Parenteau and J. Lavoie and H. A. Hoang and
    S. Loiselle and Q.T. Pham and R. Pichevar and J. Rouat and V. Lapointe and
    J. Bélanger},
      title = {Système biologique de reconnaissance de formes par
    oscillations neuronales},
      booktitle = {Colloque de l'institut des matŽriaux et des systmes
    intelligents de l'Université de Sherbrooke},
      year = {2007},
      url = {http://www.imsi.usherbrooke.ca/}
    }
    					
    brevetRNSPIKESDec06 Rouat, J.; Pichevar, R.; Loiselle, S.; Tai, L.T.T.; Hai, A.H.; Lavoie, J. & Bergeron, J. Spatio-temporal pattern recognition using a spiking neural network and processing thereof on a portable and/or distributed computer 2007 Patent WO 2007/071070 A1 ; PCT/CA2006/002129  patent
    BibTeX:
    @patent{brevetRNSPIKESDec06,
      author = {Jean Rouat and Ramin Pichevar and Stéphane Loiselle and
    Le Tan Thanh Tai and Anh Hoang Hai and Jean Lavoie and Jocelyn Bergeron},
      title = {Spatio-temporal pattern recognition using a spiking neural
    network and processing thereof on a portable and/or distributed computer},
      year = {2007},
      url =
    {http://www.wipo.int/patentscope/search/en/detail.jsf?docId=WO2007071070&recNum=1&docAn=CA2006002129&maxRec=1&office=&prevFilter=&sortOption=&queryString=EN_ALLTXT%3A%28rouat%29&tab=PCT+Biblio.+Data}
    }
    					
    ezzaidiMLSP2007 Ezzaidi, H. & Rouat, J. Comparison of the Statistical and Information Theory Measures: Application to Automatic Musical Genre Classification 2007 International Workshop on Machine Learning for Signal Processing   inproceedings
    BibTeX:
    @inproceedings{ezzaidiMLSP2007,
      author = {H. Ezzaidi and J. Rouat},
      title = {Comparison of the Statistical and Information Theory Measures:
    Application to Automatic Musical Genre Classification},
      booktitle = {International Workshop on Machine Learning for Signal
    Processing},
      publisher = {IEEE},
      year = {2007},
      url =
    {http://www.ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4414265&arnumber=4414313&count=83&index=47}
    }
    					
    pichevarNeurocomputing2007 Pichevar, R. & Rouat, J. Monophonic sound Source Separation with an unsupervised network of spiking neurones 2007 Neurocomputing
    Vol. 71 , pp. 109-120  
    article
    Abstract: We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapses. Although the network does not need any training and is autonomous, the analysis is dynamic and capable of extracting multiple features and maps. The neural network allows computing a binary mask that acts as a dynamic switch on a speech vocoder made of an FIR gammatone analysis/synthesis bank of 256 filters. We report experiments on separation of speech from various intruding sounds (siren, telephone bell, speech, etc.) and compare our approach to other techniques by using the Log Spectral Distortion (LSD) metric. Key words: amplitude modulation, auditory scene analysis, auditory maps, source separation, speech enhancement, spikes, neurones

    Key words: amplitude modulation, auditory scene analysis, auditory maps, source
    separation, speech enhancement, spikes, neurones

    BibTeX:
    @article{pichevarNeurocomputing2007,
      author = {R. Pichevar and J. Rouat},
      title = {Monophonic sound Source Separation with an unsupervised network
    of spiking neurones},
      journal = {Neurocomputing},
      year = {2007},
      volume = {71},
      pages = {109--120},
      url =
    {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V10-4PCGRX0-1&_user=10&_coverDate=08%2F08%2F2007&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=8a5870305dd251d63d9d47b159f8a811},
      doi = {http://dx.doi.org/10.1016/j.neucom.2007.08.001}
    }
    					
    rouatLNCS2007 Rouat, J.; Loiselle, S. & Pichevar, R. Stylianou, Y.; Zanuy, M.F. & Esposito, A. (Hrsg.) Towards Neurocomputational Speech and Sound Processing 2007 Progress in Nonlinear Speech Processing, LNCS, Springer   inproceedings
    BibTeX:
    @inproceedings{rouatLNCS2007,
      author = {J. Rouat and S. Loiselle and R. Pichevar},
      title = {Towards Neurocomputational Speech and Sound Processing},
      booktitle = {Progress in Nonlinear Speech Processing, LNCS, Springer},
      publisher = {Springer Verlag},
      year = {2007},
      note = {Invited},
      url =
    {http://www.springer.com/dal/home/computer/user+interfaces?SGWID=1-154-22-173731108-0}
    }
    					
    valinElsevier2005 Valin, J.-M.; Michaud, F. & Rouat, J. Robust Localization and Tracking of Simultaneous Moving Sound Sources Using Beamforming and Particle Filtering 2007 Robotics and Autonomous Systems
    Vol. 55 (3) , pp. 216-228  
    article
    BibTeX:
    @article{valinElsevier2005,
      author = {Jean-Marc Valin and François Michaud and Jean Rouat},
      title = {Robust Localization and Tracking of Simultaneous Moving Sound
    Sources Using Beamforming and Particle Filtering},
      journal = {Robotics and Autonomous Systems},
      year = {2007},
      volume = {55},
      number = {3},
      pages = {216--228}
    }
    					
    valinIEEETrRobotics2007 Valin, J.-M.; Yamamoto, S.; Rouat, J.; Michaud, F.; Nakadai, K. & Okuno, H.G. Robust Recognition of Simultaneous Speech by a Mobile Robot 2007 Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on]
    Vol. 23 (4) Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on] , pp. 742-752  
    article cocktail party, geometric source separation (gss), microphone array, missing feature theory, robot audition, speech recognition
    Abstract: This paper describes a system that gives a mobile robot the ability to perform automatic speech recognition with simultaneous speakers. A microphone array is used along with a real-time implementation of geometric source separation (GSS) and a postfilter that gives a further reduction of interference from other sources. The postfilter is also used to estimate the reliability of spectral features and compute a missing feature mask. The mask is used in a missing feature theory-based speech recognition system to recognize the speech from simultaneous Japanese speakers in the context of a humanoid robot. Recognition rates are presented for three simultaneous speakers located at 2 m from the robot. The system was evaluated on a 200-word vocabulary at different azimuths between sources, ranging from 10$^circ$ to 90 $^circ$. Compared to the use of the microphone array source separation alone, we demonstrate an average reduction in relative recognition error rate of 24$%$ with the postfilter and of 42$%$ when the missing features approach is combined with the postfilter. We demonstrate the effectiveness of our multisource microphone array postfilter and the improvement it provides when used in conjunction with the missing features theory.
    BibTeX:
    @article{valinIEEETrRobotics2007,
      author = {Valin, J.-M. and Yamamoto, S. and Rouat, J. and Michaud, F.
    and Nakadai, K. and Okuno, H. G.},
      title = {Robust Recognition of Simultaneous Speech by a Mobile Robot},
      booktitle = {Robotics, IEEE Transactions on [see also Robotics and
    Automation, IEEE Transactions on]},
      journal = {Robotics, IEEE Transactions on [see also Robotics and
    Automation, IEEE Transactions on]},
      year = {2007},
      volume = {23},
      number = {4},
      pages = {742--752},
      url =
    {http://ieeexplore.ieee.org/iel5/8860/4285839/04285864.pdf?tp=&arnumber=4285864&isnumber=4285839}
    }
    					
    bahoura2006SpeechComm Bahoura, M. & J.Rouat Wavelet Speech Enhancement Based on Time-Space Adaptation 2006 Speech Communication
    Vol. 48 (12) , pp. 1620-1637  
    article
    BibTeX:
    @article{bahoura2006SpeechComm,
      author = {M. Bahoura and J.Rouat},
      title = {Wavelet Speech Enhancement Based on Time--Space Adaptation},
      journal = {Speech Communication},
      year = {2006},
      volume = {48},
      number = {12},
      pages = {1620-1637},
      url =
    {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V1C-4KF1G03-3&_user=10&_coverDate=12%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_rerunOrigin=scholar.google&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=9e32733c9ae101c7558276cc77a2ecf3}
    }
    					
    bergeronDemoNIPS2006 Bergeron, J.; Lavoie, J.; Loiselle, S.; Anh, H.H.; Lapointe, V.; Rouat, J.; Pichevar, R. & Bélanger, J. Neural Information Processing Systems RN-Spikes: A bio-inspired neural processor for face recognition 2006 Live Demonstration   inproceedings
    BibTeX:
    @inproceedings{bergeronDemoNIPS2006,
      author = {Jocely Bergeron and Jean Lavoie and Stephane Loiselle and
    Hoang Hai Anh and Vincent Lapointe and Jean Rouat and Ramin Pichevar and
    Jean Bélanger},
      title = {RN-Spikes: A bio-inspired neural processor for face
    recognition},
      booktitle = {Live Demonstration},
      year = {2006}
    }
    					
    ezzaidiEnformatika2006 Ezzaidi, H. & Rouat, J. Automatic Musical Genre Classification Using Divergence and Average Information Measures 2006 Transactions on Engineering, Computing and Technology
    Vol. 15 , pp. 145- 149  
    article
    BibTeX:
    @article{ezzaidiEnformatika2006,
      author = {Hassan Ezzaidi and Jean Rouat},
      title = {Automatic Musical Genre Classification Using Divergence and
    Average Information Measures},
      journal = {Transactions on Engineering, Computing and Technology},
      year = {2006},
      volume = {15},
      pages = {145-- 149},
      edition = {World Enformatika Society},
      url = {http://www.waset.org/ijaset/v15/v15-27.pdf}
    }
    					
    fillion2006 Fillion-Deneault, J. & Rouat, J. Cohesive Particle Filtering For Sound Source Localization 2006 IEEE-ICASSP   inproceedings
    BibTeX:
    @inproceedings{fillion2006,
      author = {Jonathan Fillion-Deneault and Jean Rouat},
      title = {Cohesive Particle Filtering For Sound Source Localization},
      booktitle = {IEEE-ICASSP},
      year = {2006},
      note = {May 2006}
    }
    					
    giguere2006ASA Giguère; Laroche; Brault; Ste-Marie; Brosseau-Villeneuve; Philippon & Vaillancourt Quantifying the Lombard effect in different background noises 2006
    Vol. 120 (5) Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan , pp. Part 2, 3378  
    inproceedings
    BibTeX:
    @inproceedings{giguere2006ASA,
      author = {Giguère and Laroche and Brault and Ste-Marie and
    Brosseau-Villeneuve and Philippon and Vaillancourt},
      title = {Quantifying the Lombard effect in different background noises},
      booktitle = {Joint Meeting of the Acoustical Society of America and the
    Acoustical Society of Japan},
      year = {2006},
      volume = {120},
      number = {5},
      pages = {Part 2, 3378},
      note = {Paper 5pSC42}
    }
    					
    loiselleGRSNC2006 Loiselle, S.; Pichevar, R. & Rouat, J. Toward computational models of sound processing 2006 XXVIII int. Symposium on Computational Neuroscience   inproceedings
    BibTeX:
    @inproceedings{loiselleGRSNC2006,
      author = {StŽphane Loiselle and Ramin Pichevar and Jean Rouat},
      title = {Toward computational models of sound processing},
      booktitle = {XXVIII int. Symposium on Computational Neuroscience},
      year = {2006}
    }
    					
    moussaoui2006 Moussaoui, R.; Rouat, J. & Lefebvre, R. Wavelet based independent component analysis for source separation: to speech and music applications 2006 IEEE-ICASSP   inproceedings
    BibTeX:
    @inproceedings{moussaoui2006,
      author = {Rachid Moussaoui and Jean Rouat and Roch Lefebvre},
      title = {Wavelet based independent component analysis for source
    separation: to speech and music applications},
      booktitle = {IEEE-ICASSP},
      year = {2006},
      note = {May 2006}
    }
    					
    pichevarGRSNC2006 Pichevar, R. & Rouat, J. The Dimensionally-Reduced Oscillatory Dynamic Link Matcher 2006 XXVIII int. Symposium on Computational Neuroscience   inproceedings
    BibTeX:
    @inproceedings{pichevarGRSNC2006,
      author = {Ramin Pichevar and Jean Rouat},
      title = {The Dimensionally-Reduced Oscillatory Dynamic Link Matcher},
      booktitle = {XXVIII int. Symposium on Computational Neuroscience},
      year = {2006}
    }
    					
    pichevarNeurocomputing2006ODML Pichevar, R.; Rouat, J. & Le, T.T.T. The Oscillatory Dynamic Link Matcher for Spiking-Neuron-Based Pattern Recognition 2006 Neurocomputing
    Vol. 69 , pp. 1837-1849  
    article
    BibTeX:
    @article{pichevarNeurocomputing2006ODML,
      author = {Ramin Pichevar and Jean Rouat and Tan Tanh Tai Le},
      title = {The Oscillatory Dynamic Link Matcher for Spiking--Neuron--Based
    Pattern Recognition},
      journal = {Neurocomputing},
      year = {2006},
      volume = {69},
      pages = {1837--1849},
      note = {http://dx.doi.org/10.1016/j.neucom.2005.11.011},
      url = {pdf}
    }
    					
    rouat2006NIPS Rouat, J.; Loiselle, S. & Pichevar, R. Acoustic Representation and Processing: It is time! 2006 Neural Information Processing Systems, Workshop on Acoustic Processing   conference
    BibTeX:
    @conference{rouat2006NIPS,
      author = {Jean Rouat and Stéphane Loiselle and Ramin Pichevar},
      title = {Acoustic Representation and Processing: It is time!},
      booktitle = {Neural Information Processing Systems, Workshop on Acoustic
    Processing},
      year = {2006},
      url =
    {http://web4.cs.ucl.ac.uk/staff/D.Barber/workshops/amac/ROUATNIPS2006.pdf}
    }
    					
    simard2006 Simard, Y.; Bahoura, M.; Sirois, C.-W.P.J.R.M.; Roy, X.M.D.S.N. & Lepage, R. Development and experimentation of a satellite buoy network for real-time acoustic localization of whales in the St. Lawrence 2006 IEEE -- OCEANS   inproceedings
    BibTeX:
    @inproceedings{simard2006,
      author = {Yvan Simard and Mohammed Bahoura and Chan--Wang ParkÊand Jean
    RouatÊand Martin Sirois and Xavier MouyÊand Diya SeebaruthÊand Nathalie
    Roy and Richard Lepage},
      title = {Development and experimentation of a satellite buoy network for
    real-time acoustic localization of whales in the St. Lawrence},
      booktitle = {IEEE -- OCEANS},
      year = {2006}
    }
    					
    StAmand2006 St-Amand, O.; Gingras, D.; Lorrain, D.; Rouat, J. & Bélisle, D. Single-trial P300 Identification of Cognitive Evoked Potentials 2006 18th Int. EURASIP Biosignal Conf.   inproceedings
    BibTeX:
    @inproceedings{StAmand2006,
      author = {Olivier St-Amand and Denis Gingras and Dominique Lorrain and
    Jean Rouat and Denis Bélisle},
      title = {Single--trial P300 Identification of Cognitive Evoked
    Potentials},
      booktitle = {18th Int. EURASIP Biosignal Conf.},
      year = {2006}
    }
    					
    valinICASSP2006 Valin, J.-M.; Michaud, F. & Rouat, J. Robust 3d localization and tracking of sound sources using beamforming and particle filtering 2006 IEEE-ICASSP   inproceedings
    BibTeX:
    @inproceedings{valinICASSP2006,
      author = {Jean-Marc Valin and Franois Michaud and Jean Rouat},
      title = {Robust 3d localization and tracking of sound sources using
    beamforming and particle filtering},
      booktitle = {IEEE-ICASSP},
      year = {2006},
      note = {May 2006}
    }
    					
    WangBrownBook2006 Wang, D. & Brown, G.J. Computational Auditory Scene Analysis: Principles, Algorithms, and Applications 2006   book
    Abstract: J'ai evalue ce livre pour les transactions IEEE on NN
    BibTeX:
    @book{WangBrownBook2006,
      author = {DeLiang Wang and Guy J. Brown},
      title = {Computational Auditory Scene Analysis: Principles, Algorithms,
    and Applications},
      publisher = {Wiley Inter-Science},
      year = {2006}
    }
    					
    chibirova2004 Chibirova, O.K.; Aksenova, T.I.; Benabid, A.-L.; Chabardes, S.; Larouche, S.; Rouat, J. & Villa, A.E.P. Unsupervised spike sorting of extracellular electrophysiological recording in Subthalamic Nucleus of Parkinsonian patients 2005 BioSystems
    Vol. 79 , pp. 159-171  
    article
    BibTeX:
    @article{chibirova2004,
      author = {Olga K. Chibirova and Tetyana I. Aksenova and Alim-Louis
    Benabid and Stephan Chabardes and Steeve Larouche and Jean Rouat and
    Alessandro E. P. Villa},
      title = {Unsupervised spike sorting of extracellular
    electrophysiological recording in Subthalamic Nucleus of Parkinsonian
    patients},
      journal = {BioSystems},
      year = {2005},
      volume = {79},
      pages = {159--171},
      url =
    {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T2K-4DT2KMK-1&_user=10&_coverDate=01%2F01%2F2005&_alid=1429375610&_rdoc=1&_fmt=high&_orig=search&_cdi=4921&_sort=r&_docanchor=&view=c&_ct=6&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=0f274690863ecd2b99bbb3a5b8768c3f}
    }
    					
    ezzaidiICSLP2005 Ezzaidi, H. & Rouat, J. Automatic Genre Classification Using Second-Order Statistical Measures: Prescriptive Approach 2005 INTERSPEECH, Int. Conference on Speech   inproceedings
    BibTeX:
    @inproceedings{ezzaidiICSLP2005,
      author = {Hassan Ezzaidi and Jean Rouat},
      title = {Automatic Genre Classification Using Second-Order Statistical
    Measures: Prescriptive Approach},
      booktitle = {INTERSPEECH, Int. Conference on Speech},
      year = {2005},
      note = {Sept. 2005}
    }
    					
    loiselle2005 Loiselle, S.; Rouat, J.; Pressnitzer, D. & Thorpe, S. Exploration of Rank Order Coding with Spiking Neural Networks for Speech Recognition 2005 International Joint Conference on Neural Networks   inproceedings
    BibTeX:
    @inproceedings{loiselle2005,
      author = {Stéphane Loiselle and Jean Rouat and Daniel Pressnitzer
    and Simon Thorpe},
      title = {Exploration of Rank Order Coding with Spiking Neural Networks
    for Speech Recognition},
      booktitle = {International Joint Conference on Neural Networks},
      year = {2005},
      note = {August 2005}
    }
    					
    patentValin2005 Valin, J.-M.; Michaud, F. & Rouat, J. Robust localization and tracking of simultaneously moving sound sources using beamforming and particle filtering 2005 US patent application 116117  patent
    BibTeX:
    @patent{patentValin2005,
      author = {Jean-Marc Valin and François Michaud and Jean Rouat},
      title = {Robust localization and tracking of simultaneously moving sound
    sources using beamforming and particle filtering},
      year = {2005},
      url =
    {http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=2&p=1&f=G&l=50&d=PG01&S1=Rouat.IN.&OS=IN/Rouat&RS=IN/Rouat}
    }
    					
    pichevarVietri2005 Pichevar, R. & Rouat, J. Chollet, G.; Esposito, A.; Faundez-Zanuy, M. & Marinaro, M. (Hrsg.) A Quantitative Evaluation of a Bio-Inspired Sound Source Segregation Technique Based for two and three Source Mixtures 2005
    Vol. 3445 Advances in Nonlinear Speech Modeling and Applications , pp. 430-434  
    inproceedings
    BibTeX:
    @inproceedings{pichevarVietri2005,
      author = {Ramin Pichevar and Jean Rouat},
      title = {A Quantitative Evaluation of a Bio-Inspired Sound Source
    Segregation Technique Based for two and three Source Mixtures},
      booktitle = {Advances in Nonlinear Speech Modeling and Applications},
      publisher = {Springer Verlag},
      year = {2005},
      volume = {3445},
      pages = {430--434}
    }
    					
    rouat2005 Rouat, J. & Pichevar, R. Source separation with one ear: Proposition for an anthropomorphic approach 2005 EURASIP Journal on Applied Signal Processing
    Vol. Special Issue on Anthropomorphic Processing of Audio and Speech (9) , pp. 1365-1373  
    article
    BibTeX:
    @article{rouat2005,
      author = {Jean Rouat and Ramin Pichevar},
      title = {Source separation with one ear: Proposition for an
    anthropomorphic approach},
      journal = {EURASIP Journal on Applied Signal Processing},
      year = {2005},
      volume = {Special Issue on Anthropomorphic Processing of Audio and
    Speech},
      number = {9},
      pages = {1365--1373},
      note = {Invited, doi:10.1155/ASP.2005.1365},
      url = {http://downloads.hindawi.com/journals/asp/2005/471801.pdf}
    }
    					
    rouatVietri2005 Rouat, J.; Pichevar, R. & Loiselle, S. Chollet, G.; Esposito, A.; Faundez-Zanuy, M. & Marinaro, M. (Hrsg.) 15 ( Perceptive Nonlinear Speech Processing and Spiking Neural Networks ) 2005 Perceptive Nonlinear Speech Processing and Spiking Neural Networks
    Vol. 3445 Advances in Nonlinear Speech Modeling and Applications , pp. 351-371  
    inproceedings
    BibTeX:
    @inproceedings{rouatVietri2005,
      author = {J. Rouat and Ramin Pichevar and Stéphane Loiselle},
      title = {Perceptive Nonlinear Speech Processing and Spiking Neural
    Networks},
      booktitle = {Advances in Nonlinear Speech Modeling and Applications},
      publisher = {Springer Verlag},
      year = {2005},
      volume = {3445},
      pages = {351--371},
      note = {Invited}
    }
    					
    roy2005 Roy, N.; Simard, Y.; Seebaruth, D. & Rouat, J. Acoustic localisation of marine mammals from a coastal array of hydrophones in the Saguenay -Ñ St. Lawrence Marine Park 2005 2nd Int. Workshop on Detection and Localization of Marine Mammals using Passive Acoustics   inproceedings
    BibTeX:
    @inproceedings{roy2005,
      author = {Nathalie Roy and Yvan Simard and Diya Seebaruth and Jean
    Rouat},
      title = {Acoustic localisation of marine mammals from a coastal array of
    hydrophones in the Saguenay -Ñ St. Lawrence Marine Park},
      booktitle = {2nd Int. Workshop on Detection and Localization of Marine
    Mammals using Passive Acoustics},
      year = {2005}
    }
    					
    seebaruth2005 Seebaruth, D.; Rouat, J. & Simard, Y. 2D whale localization using probability distributions of sound speed, receiver locations and arrival time differences 2005 2nd International Workshop on Detection and Localization of Marine Mammals using Passive Acoustics   inproceedings
    BibTeX:
    @inproceedings{seebaruth2005,
      author = {Diya Seebaruth and Jean Rouat and Yvan Simard},
      title = {2D whale localization using probability distributions of sound
    speed, receiver locations and arrival time differences},
      booktitle = {2nd International Workshop on Detection and Localization of
    Marine Mammals using Passive Acoustics},
      year = {2005}
    }
    					
    simard2005 Simard, Y.; Bahoura, M.; Park, C.-W.; Rouat, J.; Sirois, M.; Mouy, X.; Seebaruth, D.; Roy, N. & Lepage, R. Development of a satellite telecommunicating acoustic buoy network for real-time localisation of blue and fin whales in the St. Lawrence 2005 2nd Int. Workshop on Detection and Localization of Marine Mammals using Passive Acoustics   inproceedings
    BibTeX:
    @inproceedings{simard2005,
      author = {Yvan Simard and Mohammed Bahoura and Chan-Wang Park and Jean
    Rouat and Martin Sirois and Xavier Mouy and Diya Seebaruth and Nathalie
    Roy and Richard Lepage},
      title = {Development of a satellite telecommunicating acoustic buoy
    network for real-time localisation of blue and fin whales in the St.
    Lawrence},
      booktitle = {2nd Int. Workshop on Detection and Localization of Marine
    Mammals using Passive Acoustics},
      year = {2005}
    }
    					
    StAmand2005 St-Amand, O.; Gingras, D.; Lorrain, D.; Rouat, J. & Bélisle, D. Single-trial P300 Identification of Cognitive Evoked Potentials 2005 4th Intelligent Materials and Systems Institute Symposium   inproceedings
    BibTeX:
    @inproceedings{StAmand2005,
      author = {Olivier St-Amand and Denis Gingras and Dominique Lorrain and
    Jean Rouat and Denis Bélisle},
      title = {Single--trial P300 Identification of Cognitive Evoked
    Potentials},
      booktitle = {4th Intelligent Materials and Systems Institute Symposium},
      year = {2005}
    }
    					
    valinICRA2005 Yamamoto, S.; Valin, J.-M.; Nakadai, K.; Rouat, J.; Michaud, F.; Ogata, T. & Okuno, H.G. Enhanced Robot Speech Recognition Based on Microphone Array Source Separation and Missing Feature Theory 2005 IEEE International Conference on Robotics and Automation (ICRA)   inproceedings
    BibTeX:
    @inproceedings{valinICRA2005,
      author = {Shun'ichi Yamamoto and Jean-Marc Valin and Kazuhiro Nakadai
    and Jean Rouat and François Michaud and Tetsuya Ogata and Hiroshi
    G. Okuno},
      title = {Enhanced Robot Speech Recognition Based on Microphone Array
    Source Separation and Missing Feature Theory},
      booktitle = {IEEE International Conference on Robotics and Automation
    (ICRA)},
      publisher = {IEEE},
      year = {2005}
    }
    					
    valinIROS2005 Yamamoto, S.; Nakadai, K.; Valin, J.-M.; Rouat, J.; Michaud, F.; Ogata, T.; Komatani, K. & Okuno, H.G. Making A Robot Recognize Three Simultaneous Sentences in Real-Time 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)   inproceedings
    BibTeX:
    @inproceedings{valinIROS2005,
      author = {Shun'ichi Yamamoto and Kazuhiro Nakadai and Jean-Marc Valin
    and Jean Rouat and François Michaud and Tetsuya Ogata and Kazunori
    Komatani and Hiroshi G. Okuno},
      title = {Making A Robot Recognize Three Simultaneous Sentences in
    Real-Time},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and
    Systems (IROS)},
      publisher = {IEEE},
      year = {2005}
    }
    					
    ezzaidi2004 Ezzaidi, H. & Rouat, J. Pitch and MFCC dependent GMM models for speaker identification systems 2004 IEEE Canadian Conference on Electrical and Computer Engineering   conference
    BibTeX:
    @conference{ezzaidi2004,
      author = {H. Ezzaidi and J. Rouat},
      title = {Pitch and MFCC dependent GMM models for speaker identification
    systems},
      booktitle = {IEEE Canadian Conference on Electrical and Computer
    Engineering},
      year = {2004}
    }
    					
    pichevar2004a Pichevar, R. & Rouat, J. Oscillatory Dynamics for Pattern Matching 2004 Brain Inspired Cognitive Systems   inproceedings
    BibTeX:
    @inproceedings{pichevar2004a,
      author = {R. Pichevar and J. Rouat},
      title = {Oscillatory Dynamics for Pattern Matching},
      booktitle = {Brain Inspired Cognitive Systems},
      year = {2004},
      note = {Invited}
    }
    					
    pichevar2004b Pichevar, R. & Rouat, J. Sound Separation in Natural Environments: A Bio-Inspired Approach 2004 Gordon Research Conference on Sensory Coding and the Natural Environment   inproceedings
    BibTeX:
    @inproceedings{pichevar2004b,
      author = {R. Pichevar and J. Rouat},
      title = {Sound Separation in Natural Environments: A Bio-Inspired
    Approach},
      booktitle = {Gordon Research Conference on Sensory Coding and the
    Natural Environment},
      year = {2004},
      note = {http://www.grc.org/programs/2004/senscod.htm}
    }
    					
    pichevar2004c Pichevar, R.; Rouat, J.; Feldbauer, C. & Kubin, G. A Bio-Inspired Sound Source Separation Technique in Combination with an Enhanced FIR Gammatone Analysis/Synthesis Filterbank 2004 EUSIPCO   inproceedings
    BibTeX:
    @inproceedings{pichevar2004c,
      author = {R. Pichevar and J. Rouat and C. Feldbauer and G. Kubin},
      title = {A Bio-Inspired Sound Source Separation Technique in Combination
    with an Enhanced FIR Gammatone Analysis/Synthesis Filterbank},
      booktitle = {EUSIPCO},
      year = {2004},
      note = {Special Session},
      url =
    {http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1642.pdf}
    }
    					
    raminThese2004 Pichevar, R. Traitement neuronal et anthropomorphique de l?effet ?soirée cocktail? en vue d?applications à la séparation de sources sonores et à la reconnaissance de formes. Neural and Anthropomorphic Processing of the "Cocktail Party" Effect and its Applications in Information Technology 2004 School: Université de Sherbrooke   phdthesis
    BibTeX:
    @phdthesis{raminThese2004,
      author = {Ramin Pichevar},
      title = {Traitement neuronal et anthropomorphique de l?effet ?soirée
    cocktail? en vue d?applications à la séparation de sources sonores et à la
    reconnaissance de formes. Neural and Anthropomorphic Processing of the
    "Cocktail Party" Effect and its Applications in Information Technology},
      school = {Université de Sherbrooke},
      year = {2004}
    }
    					
    loiselleMscA2004 Loiselle, S. Exploration de réseaux de neurones à décharges dans un contexte de reconnaissance de parole 2004 School: Université du Québec à Chicoutimi, Canada   mastersthesis
    BibTeX:
    @mastersthesis{loiselleMscA2004,
      author = {Stéphane Loiselle},
      title = {Exploration de réseaux de neurones à
    décharges dans un contexte de reconnaissance de parole},
      school = {Université du Québec à Chicoutimi,
    Canada},
      year = {2004},
      url = {http://bibvir.uqac.ca/theses/18186435/18186435.pdf}
    }
    					
    raminwww Pichevar, R. 2004 http://www-edu.gel.usherbrooke.ca/pichevar/Demos.htm  misc
    BibTeX:
    @misc{raminwww,
      author = {Ramin Pichevar},
      year = {2004}
    }
    					
    rouatVietri2004 Rouat, J. Non-linear speech processing and spiking Neural Networks 2004 International School on Nonlinear Speech Processing   conference
    BibTeX:
    @conference{rouatVietri2004,
      author = {J. Rouat},
      title = {Non-linear speech processing and spiking Neural Networks},
      booktitle = {International School on Nonlinear Speech Processing},
      publisher = {Springer Verlag},
      year = {2004},
      note = {Invited, http://www.iiassvietri.it/school2004/}
    }
    					
    rouatwww Rouat, J. 2004 http://www.gel.usherb.ca/rouat  misc
    BibTeX:
    @misc{rouatwww,
      author = {J. Rouat},
      year = {2004}
    }
    					
    valin2004a Valin, J.M.; Rouat, J. & Michaud, F. Microphone array post-filter for separation of simultaneous non-stationary sources 2004 IEEE Int. Conf. on Acoustics Speech Signal Processing   conference
    BibTeX:
    @conference{valin2004a,
      author = {J.~-M.~Valin and J. Rouat and F. Michaud},
      title = {Microphone array post-filter for separation of simultaneous
    non-stationary sources},
      booktitle = {IEEE Int. Conf. on Acoustics Speech Signal Processing},
      year = {2004}
    }
    					
    valin2004b Valin, J.M.; Michaud, F.; Hadjou, B. & Rouat, J. Localization of Simultaneous Moving Sound Sources for Mobile Robot Using a Frequency-Domain Steered Beamformer Approach 2004 IEEE Int. Conf. on Robotics and Automation   conference
    BibTeX:
    @conference{valin2004b,
      author = {J.~-M.~Valin and F. Michaud and B. Hadjou and J. Rouat},
      title = {Localization of Simultaneous Moving Sound Sources for Mobile
    Robot Using a Frequency-Domain Steered Beamformer Approach},
      booktitle = {IEEE Int. Conf. on Robotics and Automation},
      year = {2004}
    }
    					
    valin2004c Valin, J.-M.; Rouat, J. & Michaud, F. Enhanced Robot Audition Based on Microphone Array Source Separation with Post-Filter 2004 IEEE/RSJ-International Conference on Intelligent Robots and Systems   conference
    BibTeX:
    @conference{valin2004c,
      author = {Jean-Marc Valin and Jean Rouat and François Michaud},
      title = {Enhanced Robot Audition Based on Microphone Array Source
    Separation with Post-Filter},
      booktitle = {IEEE/RSJ-International Conference on Intelligent Robots and
    Systems},
      year = {2004}
    }
    					
    chibirova2003 Chibirova, O.K.; Aksenova, T.I.; Benabid, A.-L.; Chabardes, S.; Larouche, S.; Rouat, J. & Villa, A.E.P. Unsupervised spike sorting of extracellular electrophysiological recording in Subthalamic Nucleus of Parkinsonian patients 2003 5th neural coding workshop   conference
    BibTeX:
    @conference{chibirova2003,
      author = {Olga K. Chibirova and Tetyana I. Aksenova and Alim-Louis
    Benabid and Stephan Chabardes and Steeve Larouche and Jean Rouat and
    Alessandro E. P. Villa},
      title = {Unsupervised spike sorting of extracellular
    electrophysiological recording in Subthalamic Nucleus of Parkinsonian
    patients},
      booktitle = {5th neural coding workshop},
      year = {2003}
    }
    					
    pichevar2003a Pichevar, R. & Rouat, J. Binding of audio elements in the sound source segregation problem via a two-layered bio-inspired neural network 2003 IEEE Canadian Conference on Electrical and Computer Engineering   inproceedings
    BibTeX:
    @inproceedings{pichevar2003a,
      author = {R. Pichevar and J. Rouat},
      title = {Binding of audio elements in the sound source segregation
    problem via a two-layered bio-inspired neural network},
      booktitle = {IEEE Canadian Conference on Electrical and Computer
    Engineering},
      publisher = {IEEE},
      year = {2003}
    }
    					
    pichevar2003b Pichevar, R. & Rouat, J. Double-vowel Segregation Through Temporal Correlation: A Bio-inspired Neural Network Paradigm 2003 NOLISP03, Non Linear Speech Processing   inproceedings
    BibTeX:
    @inproceedings{pichevar2003b,
      author = {R. Pichevar and J. Rouat},
      title = {Double-vowel Segregation Through Temporal Correlation: A
    Bio-inspired Neural Network Paradigm},
      booktitle = {NOLISP03, Non Linear Speech Processing},
      year = {2003}
    }
    					
    pichevar2003c Pichevar, R. & Rouat, J. Cochleotopic/AMtopic (CAM) and Cochleotopic/Spectrotopic (CSM) MAP based sound source separation using relaxation oscillatory neurons 2003 IEEE Workshop on Neural Networks for Signal Processing , pp. 657-666   conference
    BibTeX:
    @conference{pichevar2003c,
      author = {R. Pichevar and J. Rouat},
      title = {Cochleotopic/AMtopic (CAM) and Cochleotopic/Spectrotopic (CSM)
    MAP based sound source separation using relaxation oscillatory neurons},
      booktitle = {IEEE Workshop on Neural Networks for Signal Processing},
      year = {2003},
      pages = {657--666}
    }
    					
    pichevar2003d Pichevar, R. & Rouat, J. Oscillatory Dynamic Link Matching for Pattern Recognition 2003 5th neural coding workshop   conference
    BibTeX:
    @conference{pichevar2003d,
      author = {R. Pichevar and J. Rouat},
      title = {Oscillatory Dynamic Link Matching for Pattern Recognition},
      booktitle = {5th neural coding workshop},
      year = {2003}
    }
    					
    pichevar2003e Pichevar, R. & Rouat, J. Streaming of Audio Objects on 2D Spectral Maps Through Multiplicative Synaptic Connection Neurons 2003 2nd Annual Auditory Perception Cognition and Action Meeting November 6, Vancouver, B.C., CANADA   conference
    BibTeX:
    @conference{pichevar2003e,
      author = {R. Pichevar and J. Rouat},
      title = {Streaming of Audio Objects on 2D Spectral Maps Through
    Multiplicative Synaptic Connection Neurons},
      booktitle = {2nd Annual Auditory Perception Cognition and Action Meeting
    November 6, Vancouver, B.C., CANADA},
      year = {2003}
    }
    					
    valin2003 Valin, J.-M.; Michaud, F.; Rouat, J. & Létourneau, D. Robust Sound Source Localization Using a Microphone Array on a Mobile Robot 2003 IEEE/RSJ-Int. Conf. on Intelligent Robots & Systems   conference
    BibTeX:
    @conference{valin2003,
      author = {Jean-Marc Valin and François Michaud and Jean Rouat and
    Dominic Létourneau},
      title = {Robust Sound Source Localization Using a Microphone Array on a
    Mobile Robot},
      booktitle = {IEEE/RSJ-Int. Conf. on Intelligent Robots & Systems},
      year = {2003}
    }
    					
    ezzaidi2002 Ezzaidi, H. & Rouat, J. Speech, music and songs discrimination in the context of handsets variability 2002 proceedings of ICSLP 2002   inproceedings
    BibTeX:
    @inproceedings{ezzaidi2002,
      author = {H. Ezzaidi and J. Rouat},
      title = {Speech, music and songs discrimination in the context of
    handsets variability},
      booktitle = {proceedings of ICSLP 2002},
      year = {2002}
    }
    					
    pichevar2002c Pichevar, R. & Rouat, J. Double-vowel Segregation based on a Cochleotopic/AMtopic Map using a Biological Neural Network 2002 Auditory Perception, Cognition, and Action Meeting, Thursday November 21, 2002, The Westin Hotel Kansas City, MO, USA   conference
    BibTeX:
    @conference{pichevar2002c,
      author = {R. Pichevar and J. Rouat},
      title = {Double-vowel Segregation based on a Cochleotopic/AMtopic Map
    using a Biological Neural Network},
      booktitle = {Auditory Perception, Cognition, and Action Meeting,
    Thursday November 21, 2002, The Westin Hotel Kansas City, MO, USA},
      year = {2002}
    }
    					
    rouat2002 Rouat, J. & Pichevar, R. Nonlinear speech processing with oscillatory neural networks for speaker segregation 2002 proceedings of EUSIPCO 2002   inproceedings
    BibTeX:
    @inproceedings{rouat2002,
      author = {J. Rouat and R. Pichevar},
      title = {Nonlinear speech processing with oscillatory neural networks
    for speaker segregation},
      booktitle = {proceedings of EUSIPCO 2002},
      year = {2002},
      note = {Invited},
      url =
    {http://www.eurasip.org/Proceedings/Eusipco/2002/articles/paper718.pdf}
    }
    					
    rouat2002b Rouat, J.; Pichevar, R. & Balleraud, R. Binding of Audio Elements in the Sound Source Segregation Problem via a Two-Layered Bio-Inspired Neural Network: Preliminary Example 2002 COST277 meeting, 3 December, Edinburgh, U.K.   conference
    BibTeX:
    @conference{rouat2002b,
      author = {Jean Rouat and Ramin Pichevar and Romain Balleraud},
      title = {Binding of Audio Elements in the Sound Source Segregation
    Problem via a Two-Layered Bio-Inspired Neural Network: Preliminary
    Example},
      booktitle = {COST277 meeting, 3 December, Edinburgh, U.K.},
      year = {2002}
    }
    					
    bahoura2001a Bahoura, M. & Rouat, J. Wavelet Speech Enhancement based on the Teager Energy Operator 2001 IEEE Signal Processing Letters
    Vol. 8 (1) , pp. 10-12  
    article
    BibTeX:
    @article{bahoura2001a,
      author = {M. Bahoura and J. Rouat},
      title = {Wavelet Speech Enhancement based on the Teager Energy Operator},
      journal = {IEEE Signal Processing Letters},
      year = {2001},
      volume = {8},
      number = {1},
      pages = {10--12},
      url =
    {http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=889636&queryText%3Dbahoura+rouat+signal+processing+letters%26openedRefinements%3D%26searchField%3DSearch+All}
    }
    					
    bahoura2001b Bahoura, M. & Rouat, J. A New Approach for Wavelet Speech Enhancement 2001 proceedings of Eurospeech 2001   inproceedings
    BibTeX:
    @inproceedings{bahoura2001b,
      author = {M. Bahoura and J. Rouat},
      title = {A New Approach for Wavelet Speech Enhancement},
      booktitle = {proceedings of Eurospeech 2001},
      year = {2001},
      note = {Paper nb: 1937},
      url =
    {http://www.isca-speech.org/archive/archive_papers/eurospeech_2001/e01_1937.pdf}
    }
    					
    ezzaidi2001a Ezzaidi, H.; Rouat, J. & O'Shaughnessy, D. Combining pitch and MFCC for speaker identification systems 2001 A speaker Odyssey, the Speaker Recognition Workshop, an ISCA Tutorial and Research Workshop (ITRW) on Speaker Recognition   inproceedings
    BibTeX:
    @inproceedings{ezzaidi2001a,
      author = {Hassan Ezzaidi and Jean Rouat and Douglas O'Shaughnessy},
      title = {Combining pitch and MFCC for speaker identification systems},
      booktitle = {A speaker Odyssey, the Speaker Recognition Workshop, an
    ISCA Tutorial and Research Workshop (ITRW) on Speaker Recognition},
      year = {2001},
      note = {Paper nb: 1036}
    }
    					
    ezzaidi2001b Ezzaidi, H.; Rouat, J. & O'Shaughnessy, D. Towards combining pitch and MFCC for speaker identification systems 2001 proceedings of Eurospeech 2001   inproceedings
    BibTeX:
    @inproceedings{ezzaidi2001b,
      author = {Hassan Ezzaidi and Jean Rouat and Douglas O'Shaughnessy},
      title = {Towards combining pitch and MFCC for speaker identification
    systems},
      booktitle = {proceedings of Eurospeech 2001},
      year = {2001},
      note = {Paper nb: 2825}
    }
    					
    bahoura2000b Bahoura, M. & Rouat, J. Wavelet Noise Reduction: Application to Speech Enhancement 2000 Canadian Acoustics
    Vol. 28 (3) , pp. 158-159  
    article
    BibTeX:
    @article{bahoura2000b,
      author = {Mohammed Bahoura and Jean Rouat},
      title = {Wavelet Noise Reduction: Application to Speech Enhancement},
      journal = {Canadian Acoustics},
      year = {2000},
      volume = {28},
      number = {3},
      pages = {158--159}
    }
    					
    ezzaidi2000a Ezzaidi, H. & Rouat, J. Comparison of MFCC and Pitch Synchronous AM, FM Parameters for Speaker Identification 2000 ICSLP   article
    BibTeX:
    @article{ezzaidi2000a,
      author = {Hassan Ezzaidi and Jean Rouat},
      title = {Comparison of MFCC and Pitch Synchronous AM, FM Parameters for
    Speaker Identification},
      journal = {ICSLP},
      year = {2000}
    }
    					
    ezzaidi2000b Ezzaidi, H. & Rouat, J. Speaker Identification by computer and human evaluated on the SPIDRE corpus 2000 Canadian Acoustics
    Vol. 28 (3) , pp. 156-157  
    article
    BibTeX:
    @article{ezzaidi2000b,
      author = {Hassan Ezzaidi and Jean Rouat},
      title = {Speaker Identification by computer and human evaluated on the
    SPIDRE corpus},
      journal = {Canadian Acoustics},
      year = {2000},
      volume = {28},
      number = {3},
      pages = {156--157}
    }
    					
    larouche2000 Larouche, E.; Rouat, J.; Bouchard, G. & Farzaneh, M. Exploration of static and time dependent neural network techniques for the prediction of ice accretion on overhead line conductors 2000 Proc. of the 9th. Int. Workshop on Atmospheric Icing of Structures   inproceedings
    BibTeX:
    @inproceedings{larouche2000,
      author = {Eric Larouche and Jean Rouat and Gilles Bouchard and Masoud
    Farzaneh},
      title = {Exploration of static and time dependent neural network
    techniques for the prediction of ice accretion on overhead line
    conductors},
      booktitle = {Proc. of the 9th. Int. Workshop on Atmospheric Icing of
    Structures},
      year = {2000}
    }
    					
    ho1998a Ho, T.V. & Rouat, J. Novelty Detection Based on Relaxation Time of a Network of Integrate-and-Fire Neurons 1998
    Vol. 2 Proc. of the IEEE, INNS Int. Joint Conf. on Neural Networks , pp. 1524-1529  
    inproceedings
    BibTeX:
    @inproceedings{ho1998a,
      author = {Tuong Vinh Ho and Jean Rouat},
      title = {Novelty Detection Based on Relaxation Time of a Network of
    Integrate--and--Fire Neurons},
      booktitle = {Proc. of the IEEE,INNS Int. Joint Conf. on Neural Networks},
      year = {1998},
      volume = {2},
      pages = {1524--1529}
    }
    					
    rouat1998 Rouat, J. & Garcia, M. Rosenthal & Okuno (Hrsg.) A prototype speech recogniser based on associative learning and nonlinear speech analysis 1998 Computational Auditory Scene Analysis , pp. 13-26   inbook
    BibTeX:
    @inbook{rouat1998,
      author = {J. Rouat and M. Garcia},
      title = {A prototype speech recogniser based on associative learning and
    nonlinear speech analysis},
      booktitle = {Computational Auditory Scene Analysis},
      publisher = {L. Erlbaum},
      year = {1998},
      pages = {13--26}
    }
    					
    rouat1998e Rouat, J. & Ho, T.V. SFA (Hrsg.) La détection de nouveauté basée sur le temps de stabilisation d'un réseau de neurones: application possible en reconnaissance de parole? 1998 22ièmes Journ. d'études sur la parole , pp. 413-416   inproceedings
    Abstract: We propose a spiking neural network model inspired from a simulated cortex model. Also, a new paradigm for pattern recognition by neural networks with complex dynamics is
    presented. The relaxation time of the network is used as a criterion for novelty detection. We compare the proposed neural network with Hopfield and backpropagation networks for a noisy digit recognition task. It is shown that the proposed network is more robust. We also design a limited experiment based on the recognition of temporal sequences of vowels and we show that the network is able to perform the recognition with a rate of 100% (sequences of 5 and 11 vowels). Regarding speech and pattern recognition tasks, the proposed spiking network seems to have a strong potential.
    BibTeX:
    @inproceedings{rouat1998e,
      author = {Jean Rouat and Tuong Vinh Ho},
      title = {La détection de nouveauté basée sur le
    temps de stabilisation d'un réseau de neurones: application
    possible en reconnaissance de parole?},
      booktitle = {22ièmes Journ. d'études sur la parole},
      publisher = {Société Française d'Acoustique},
      year = {1998},
      pages = {413-416},
      note =
    {http://www.afcp-parole.org/doc/Archives_JEP/1998_XXIIe_JEP_Martigny/1998_XXIIe_JEP_Martigny.pdf},
      url =
    {http://www.afcp-parole.org/doc/Archives_JEP/1998_XXIIe_JEP_Martigny/1998_XXIIe_JEP_Martigny.pdf}
    }
    					
    HoRouatReport1997 Ho, T.V. & Rouat, J. A Spiking Neural Network For Spatio-Temporal Pattern Detection 1997 Université du Québec à Chicoutimi, Sept. 1997 techreport
    Abstract: We propose a spiking neural network model that is inspired from an oversimplified general structure of layer IV of the cortex. The neuron model is an integrate-and-fire model whose threshold changes depending on its firing activity. Firing activity of neurons in combination with interactivity between them creates a highly dynamical self-organized process. The spiking activity, the neuron?s threshold that changes depending on the firing activity and the time of stabilization of the proposed network can be used to represent its complex behavior. We experimentally show that this representation of the complex behavior of the network can be used to characterize spatio-temporal information of input patterns. Also, a new paradigm for novelty detection by the spiking neural network is proposed. The stabilization time of the neural network is used as a criterion for novelty detection.
    Through a comparison study with other networks as Hopfield, backpropagation and DYSTAL network, we show that the proposed network can yield a comparable performance with that of a backpropagation network and a Hopfield network for a noisy digit recognition task. Furthermore, grouping and creation of sets of synchronized neurons has been observed. The sets depend on the input patterns. This suggests that patterns detection and recognition could be performed based on the grouping and on the synchronization of the spiking neurons. This work is a possible bridge between nonlinear dynamical systems and neural networks applications in spatio-temporal pattern recognition.
    Keywords: Integrate-and-Fire neurons, Spiking neural networks, Spatio-temporal patterns, Self- organization, Cortical networks, Synchronized neurons.
    BibTeX:
    @techreport{HoRouatReport1997,
      author = {Tuong Vinh Ho and Jean Rouat},
      title = {A Spiking Neural Network For Spatio-Temporal Pattern Detection},
      year = {1997}
    }
    					
    dumouchel1997 Dumouchel, P.; Vergin, R.; O'Shaughnessy, D. & Rouat, J. et R. Noumeir, R.L. (Hrsg.) La reconnaissance de la parole en français 1997 L'intelligence artificielle dans les technologies de l'information , pp. 77-85   inproceedings
    BibTeX:
    @inproceedings{dumouchel1997,
      author = {P. Dumouchel and R. Vergin and D. O'Shaughnessy and J. Rouat},
      title = {La reconnaissance de la parole en français},
      booktitle = {L'intelligence artificielle dans les technologies de
    l'information},
      year = {1997},
      pages = {77--85}
    }
    					
    ezzaidi1997a Ezzaidi, H.; Bourmeyster, I. & Rouat, J. A new algorithm for double talk detection and separation in the context of digital mobile radio telephone 1997
    Vol. 3 IEEE--ICASSP , pp. 1897-1890  
    inproceedings
    BibTeX:
    @inproceedings{ezzaidi1997a,
      author = {Hassan Ezzaidi and Ivan Bourmeyster and Jean Rouat},
      title = {A new algorithm for double talk detection and separation in the
    context of digital mobile radio telephone},
      booktitle = {IEEE--ICASSP},
      year = {1997},
      volume = {3},
      pages = {1897--1890}
    }
    					
    ezzaidi1997b Ezzaidi, H.; Rouat, J. & Bourmeyster, I. Reconnaissance automatique de parole en français pour milieu difficile: exemple de détection de double parole pour le radiotéléphone en mains libres 1997 Ières JST du Rés. Franc. de l'Ing. de la Langue, AUPELF--UREF , pp. 51-56   inproceedings
    BibTeX:
    @inproceedings{ezzaidi1997b,
      author = {Hassan Ezzaidi and Jean Rouat and Ivan Bourmeyster},
      title = {Reconnaissance automatique de parole en français pour
    milieu difficile: exemple de détection de double parole pour le
    radiotéléphone en mains libres},
      booktitle = {Ières JST du Rés. Franc. de l'Ing. de la
    Langue, AUPELF--UREF},
      year = {1997},
      pages = {51--56}
    }
    					
    ho1997 Ho, T.V. & Rouat, J. A Novelty Detector Using a Network of Integrate and Fire Neurons 1997 Artificial Neural Networks-ICANN'97 , pp. 103-108   inproceedings
    BibTeX:
    @inproceedings{ho1997,
      author = {Tuong Vinh Ho and Jean Rouat},
      title = {A Novelty Detector Using a Network of Integrate and Fire
    Neurons},
      booktitle = {Artificial Neural Networks-ICANN'97},
      publisher = {Springer},
      year = {1997},
      pages = {103-108}
    }
    					
    rouat1997a Rouat, J.; Liu, Y.C. & Morissette, D. A pitch determination and voiced/unvoiced decision algorithm for noisy speech 1997 Speech Communication
    Vol. 21 , pp. 191-207  
    article
    BibTeX:
    @article{rouat1997a,
      author = {J. Rouat and Yong Chun Liu and D. Morissette},
      title = {A pitch determination and voiced/unvoiced decision algorithm
    for noisy speech},
      journal = {Speech Communication},
      year = {1997},
      volume = {21},
      pages = {191--207},
      note =
    {http://www.gel.usherbrooke.ca/rouat/publications/PitchDeterminationAndVoicedUnvoicedForNoisySpeechRouatiuMorissettSpeechCommJ1997.pdfpaper},
      url =
    {http://www.gel.usherbrooke.ca/rouat/publications/PitchDeterminationAndVoicedUnvoicedForNoisySpeechRouatiuMorissettSpeechCommJ1997.pdfpaper}
    }
    					
    rouat1997b Rouat, J. Spatio-temporal Pattern Recognition with Neural Networks: Application to Speech 1997 Artificial Neural Networks-ICANN'97 , pp. 43-48   inproceedings
    BibTeX:
    @inproceedings{rouat1997b,
      author = {J. Rouat},
      title = {Spatio-temporal Pattern Recognition with Neural Networks:
    Application to Speech},
      booktitle = {Artificial Neural Networks-ICANN'97},
      publisher = {Springer},
      year = {1997},
      pages = {43--48},
      note = {Invited session}
    }
    					
    tang1997 Tang, P.; Dutoit, P.; Villa, A. & Rouat, J. Effect of the membrane time constant in a model of a chopper-S neuron of the anteroventral cochlear nucleus : a neuroheuristic approach 1997 Assoc. for Res. in Oto., 20th. res. meeting , pp. P-472   inproceedings
    BibTeX:
    @inproceedings{tang1997,
      author = {Ping Tang and Pierre Dutoit and Alessandro Villa and Jean
    Rouat},
      title = {Effect of the membrane time constant in a model of a chopper-S
    neuron of the anteroventral cochlear nucleus : a neuroheuristic approach},
      booktitle = {Assoc. for Res. in Oto., 20th. res. meeting},
      year = {1997},
      pages = {P--472},
      note = {http://www.aro.org/archives/1997/472.html}
    }
    					
    dumouchel1996 Dumouchel, P.; Vergin, R.; O'Shaughnessy & Rouat, J. La reconnaissance automatique de la parole en français 1996 Colloque L'intelligence artificielle dans les technologies de l'information, 64 congrès de l'ACFAS   inproceedings
    BibTeX:
    @inproceedings{dumouchel1996,
      author = {P. Dumouchel and R. Vergin and O'Shaughnessy and J. Rouat},
      title = {La reconnaissance automatique de la parole en français},
      booktitle = {Colloque L'intelligence artificielle dans les technologies
    de l'information, 64 congrès de l'ACFAS},
      publisher = {ACFAS},
      year = {1996},
      note = {http://www.is.mcgill.ca/ACFAS/C371.HTM}
    }
    					
    rouat1996 Rouat, J. Ecole Nationale Supérieure des Télécommunications Le suivi d'enveloppe (ou modulation d'amplitude) est-il une caractéristique intéressante en reconnaissance? 1996 Séminaire du pôle parole du gdrprc Communication Homme-Machine du CNRS   conference
    BibTeX:
    @conference{rouat1996,
      author = {J. Rouat},
      title = {Le suivi d'enveloppe (ou modulation d'amplitude) est-il une
    caractéristique intéressante en reconnaissance?},
      booktitle = {Séminaire du pôle parole du gdrprc
    Communication Homme-Machine du CNRS},
      year = {1996}
    }
    					
    rouat1996a Rouat, J. Demars, C. (Hrsg.) opérateurs Teager et Dyn 1996 Représentations bidimensionnelles d'un signal de parole, éléments de monographie   inproceedings
    BibTeX:
    @inproceedings{rouat1996a,
      author = {J. Rouat},
      title = {opérateurs Teager et Dyn},
      booktitle = {Représentations bidimensionnelles d'un signal de
    parole, éléments de monographie},
      publisher = {LIMSI-CNRS},
      year = {1996},
      note = {ftp://ftp.limsi.fr/pub/chrd/RPBDMSP.ps.gz},
      url = {ftp://ftp.limsi.fr/pub/chrd/RPBDMSP.ps.gz}
    }
    					
    tang1996 Tang, P. & Rouat, J. Modeling neurons in the anteroventral cochlear nucleus for amplitude modulation (AM) processing: Application to speech sound 1996 Proc. Int. Conf. on Spok. Lang. Proc. , pp. Th.P.2S2.2   inproceedings
    BibTeX:
    @inproceedings{tang1996,
      author = {Ping Tang and Jean Rouat},
      title = {Modeling neurons in the anteroventral cochlear nucleus for
    amplitude modulation (AM) processing: Application to speech sound},
      booktitle = {Proc. Int. Conf. on Spok. Lang. Proc.},
      year = {1996},
      pages = {Th.P.2S2.2}
    }
    					
    rouat1995 Rouat, J. Rubio, A. & Soler, J. (Hrsg.) A Nonlinear Speech Analysis Based on Modulation Information 1995 A Nonlinear Speech Analysis Based on Modulation Information Speech Recognition and Coding, New Advances and Trends , pp. 341-344   inproceedings
    BibTeX:
    @inproceedings{rouat1995,
      author = {Jean Rouat},
      title = {A Nonlinear Speech Analysis Based on Modulation Information},
      booktitle = {Speech Recognition and Coding, New Advances and Trends},
      publisher = {Springer-Verlag},
      year = {1995},
      pages = {341--344}
    }
    					
    rouat1995a Rouat, J.; Liu, Y.C. & Morissette, D. A pitch determination and voiced/unvoiced decision algorithm for noisy speech 1995 Proc. EUROSPEECH'95 , pp. 397-400   inproceedings
    BibTeX:
    @inproceedings{rouat1995a,
      author = {J. Rouat and Yong Chun Liu and D. Morissette},
      title = {A pitch determination and voiced/unvoiced decision algorithm
    for noisy speech},
      booktitle = {Proc. EUROSPEECH'95},
      year = {1995},
      pages = {397--400}
    }
    					
    rouat1995b Rouat, J. & Garcia, M. A prototype speech recogniser based on associative learning and nonlinear speech analysis 1995 Workshop on Computational Auditory Scene Analysis, International Joint Conference (IEEE-ACM) on Artificial Intelligence , pp. 7-12   inproceedings
    BibTeX:
    @inproceedings{rouat1995b,
      author = {J. Rouat and M. Garcia},
      title = {A prototype speech recogniser based on associative learning and
    nonlinear speech analysis},
      booktitle = {Workshop on Computational Auditory Scene Analysis,
    International Joint Conference (IEEE-ACM) on Artificial Intelligence},
      year = {1995},
      pages = {7--12}
    }
    					
    rouat1994 Rouat, J.; He, F. & Audet, D. A Neural Network for Speech Encryption and Filtering 1994
    Vol. 4 World Congress on N.N. , pp. 620-625  
    inproceedings
    BibTeX:
    @inproceedings{rouat1994,
      author = {Jean Rouat and Fang He and Daniel Audet},
      title = {A Neural Network for Speech Encryption and Filtering},
      booktitle = {World Congress on N.N.},
      publisher = {INNS Press},
      year = {1994},
      volume = {4},
      pages = {620--625},
      abstract = {We propose a speech encryption system based on a neural
    network ÇÊfilterÊÈ.
    	In a previous work, we have demonstrated that it is possible to filter
    	speech with a feedforward architecture even when the training has
    	been performed on sinusoidal signals. The same network is used to
    	perform speech encryption and decoding. We report simulation results
    	in floating and fixed point arithmetics. Transmission experiments
    	through noisy channels and attempts to decipher the encoded speech
    	by foreign decoders are also reported. The preliminary results show
    	that such encryption technique might be possible trough digital
    transmission
    	channels.},
    }
    					
    rouat1993 Rouat, J. Cooke, M.; Beet, S. & Crawford, M. (Hrsg.) 36 ( Nonlinear operators for speech analysis ) 1993 Nonlinear operators for speech analysis Visual representations of speech signals , pp. 335-340   inproceedings
    BibTeX:
    @inproceedings{rouat1993,
      author = {Jean Rouat},
      title = {Nonlinear operators for speech analysis},
      booktitle = {Visual representations of speech signals},
      publisher = {J. Wiley and Sons},
      year = {1993},
      pages = {335--340}
    }
    					
    rouat1993a Rouat, J. A Nonlinear Speech Analysis Based on Modulation Information 1993 Proceedings of the NATO Advanced Science Institute on speech recognition and coding , pp. 81-84   inproceedings
    BibTeX:
    @inproceedings{rouat1993a,
      author = {Jean Rouat},
      title = {A Nonlinear Speech Analysis Based on Modulation Information},
      booktitle = {Proceedings of the NATO Advanced Science Institute on
    speech recognition and coding},
      year = {1993},
      pages = {81--84}
    }
    					
    ennaji1992a Ennaji, M.A. & Rouat, J. Conception of Speech Filters Based on a Neural Network 1992
    Vol. 2 Proc. of the ISCA International Conference on Spoken Language Processing , pp. 1387-1390  
    inproceedings
    BibTeX:
    @inproceedings{ennaji1992a,
      author = {Moulay Abderrahim Ennaji and Jean Rouat},
      title = {Conception of Speech Filters Based on a Neural Network},
      booktitle = {Proc. of the International Conference on Spoken Language
    Processing},
      year = {1992},
      volume = {2},
      pages = {1387-1390}
    }
    					
    liu1992 Liu, Y.C. & Rouat, J. A perceptual pitch detector for very noisy telephone speech 1992
    Vol. 3 Proceedings of the 14th. International Conference on Acoustics , pp. G5-5  
    inproceedings
    BibTeX:
    @inproceedings{liu1992,
      author = {Yong Chun Liu and Jean Rouat},
      title = {A perceptual pitch detector for very noisy telephone speech},
      booktitle = {Proceedings of the 14th. International Conference on
    Acoustics},
      year = {1992},
      volume = {3},
      pages = {G5--5}
    }
    					
    rouat1992b Rouat, J. & Liu, Y.C. A pitch determination algorithm for very noisy telephone speech 1992 Proceedings of the ESCA workshop on speech processing in adverse conditions , pp. 158, 164-166   inproceedings
    BibTeX:
    @inproceedings{rouat1992b,
      author = {Jean Rouat and Yong Chun Liu},
      title = {A pitch determination algorithm for very noisy telephone
    speech},
      booktitle = {Proceedings of the ESCA workshop on speech processing in
    adverse conditions},
      publisher = {European Speech Communication Association},
      year = {1992},
      pages = {158, 164--166}
    }
    					
    rouat1992c Rouat, J. Association), E. (E.S.C. (Hrsg.) Nonlinear operators for speech analysis 1992 Workshop on Comparing Speech Signal Representations , pp. 371-378   conference
    BibTeX:
    @conference{rouat1992c,
      author = {Jean Rouat},
      title = {Nonlinear operators for speech analysis},
      booktitle = {Workshop on Comparing Speech Signal Representations},
      year = {1992},
      pages = {371-378}
    }
    					
    rouat1992d Rouat, J.; Lemieux, S. & Migneault, A. A spectro-temporal analysis of speech based on nonlinear operators 1992
    Vol. 2 Proceedings of the International Conference on Spoken Language Processing , pp. 1629-1632  
    inproceedings
    BibTeX:
    @inproceedings{rouat1992d,
      author = {J. Rouat and S. Lemieux and A. Migneault},
      title = {A spectro-temporal analysis of speech based on nonlinear
    operators},
      booktitle = {Proceedings of the International Conference on Spoken
    Language Processing},
      year = {1992},
      volume = {2},
      pages = {1629--1632}
    }
    					
    rouat1991 Rouat, J.; Liu, Y.C. & Lemieux, S. A nonlinear analysis for clean and noisy speech 1991 Canadian acoustics journal
    Vol. 19 (4) , pp. 117-118  
    article
    BibTeX:
    @article{rouat1991,
      author = {Jean Rouat and Yong Chun Liu and Sylvain Lemieux},
      title = {A nonlinear analysis for clean and noisy speech},
      journal = {Canadian acoustics journal},
      year = {1991},
      volume = {19},
      number = {4},
      pages = {117--118}
    }
    					
    cardin1989 Cardin, R.; Mori, R.D. & Rouat, J. Property Extraction for Automatic Speech Recognition 1989 Journal of Pattern Recognition letters
    Vol. 10 (2) , pp. 127-137  
    article
    BibTeX:
    @article{cardin1989,
      author = {Régis Cardin and Renato De Mori and Jean Rouat},
      title = {Property Extraction for Automatic Speech Recognition},
      journal = {Journal of Pattern Recognition letters},
      year = {1989},
      volume = {10},
      number = {2},
      pages = {127--137},
      note = {North-Holland Publishers}
    }
    					
    rouat1989a Rouat, J.; Mori, R.D. & Adoul, J.-P. Speaker and Mother Tongue Independent Analysis and Recognition of some Nasals, Liquids and Fricatives for Integration in an Automatic Speech Recognition System 1989
    Vol. 2 ESCA, International Conference on Speech Communication and Technology 1989 , pp. 240 - 243  
    inproceedings
    BibTeX:
    @inproceedings{rouat1989a,
      author = {Jean Rouat and Renato De Mori and Jean--Pierre Adoul},
      title = {Speaker and Mother Tongue Independent Analysis and Recognition
    of some Nasals, Liquids and Fricatives for Integration in an Automatic
    Speech Recognition System},
      booktitle = {ESCA, International Conference on Speech Communication and
    Technology 1989},
      year = {1989},
      volume = {2},
      pages = {240 -- 243}
    }
    					
    rouat1989b Rouat, J. Contribution à l'analyse et la reconnaissance de nasales liquides et fricatives 1989 Colloque sur la production et perception de la parole, synthèse et reconnaissance automatiques, 57e congrès de l'ACFAS , pp. 1 - 6   inproceedings
    BibTeX:
    @inproceedings{rouat1989b,
      author = {Jean Rouat},
      title = {Contribution à l'analyse et la reconnaissance de nasales
    liquides et fricatives},
      booktitle = {Colloque sur la production et perception de la parole,
    synthèse et reconnaissance automatiques, 57e congrès de
    l'ACFAS},
      publisher = {ACFAS},
      year = {1989},
      pages = {1 -- 6},
      note = {conférencier invité}
    }
    					
    demori1988 Mori, R.D.; Cardin, R.; Merlo, E.; Palakal, M. & Rouat, J. A Network of Actions for Automatic Speech Recognition 1988 Speech Communication Journal
    Vol. 7 , pp. 337 - 353  
    article
    BibTeX:
    @article{demori1988,
      author = {Renato De Mori and Régis Cardin and Ettore Merlo and
    Mathew Palakal and Jean Rouat},
      title = {A Network of Actions for Automatic Speech Recognition},
      journal = {Speech Communication Journal},
      year = {1988},
      volume = {7},
      pages = {337 - 353},
      note = {invited paper}
    }
    					
    rouat1988 Rouat, J.; Adoul, J.-P. & Mori, R.D. Consonants Analysis for Automatic Speaker Independent Speech Recognition 1988 Symposium on Communications , pp. D.4.5.- D.4.8.   inproceedings
    BibTeX:
    @inproceedings{rouat1988,
      author = {Jean Rouat and Jean--Pierre Adoul and Renato De Mori},
      title = {Consonants Analysis for Automatic Speaker Independent Speech
    Recognition},
      booktitle = {Symposium on Communications},
      publisher = {Queen's University Queen's and Dept. Of Communications,
    Ottawa Univ.},
      year = {1988},
      pages = {D.4.5.- D.4.8.}
    }
    					
    demori1987 Mori, R.D.; Merlo, E.; Palakal, M. & Rouat, J. Use of Procedural Knowledge for Automatic Speech Recognition 1987 International Joint Conference on Artificial Intelligence (IEEE--ACM) , pp. 840 - 843   inproceedings
    BibTeX:
    @inproceedings{demori1987,
      author = {Renato De Mori and Ettore Merlo and Mathew Palakal and Jean
    Rouat},
      title = {Use of Procedural Knowledge for Automatic Speech Recognition},
      booktitle = {International Joint Conference on Artificial Intelligence
    (IEEE--ACM)},
      publisher = {IEEE Press},
      year = {1987},
      pages = {840 -- 843}
    }
    					
    rouat1985 Rouat, J. & Adoul, J.-P. Impact of Vector Quantization for Connected Speech Recognition Systems 1985 IEEE, ACM, and AFCET, International Conference on the Computer aided Technologies , pp. 778 - 780   inproceedings
    BibTeX:
    @inproceedings{rouat1985,
      author = {Jean Rouat and Jean--Pierre Adoul},
      title = {Impact of Vector Quantization for Connected Speech Recognition
    Systems},
      booktitle = {IEEE, ACM, and AFCET, International Conference on the
    Computer aided Technologies},
      publisher = {IEEE Press},
      year = {1985},
      pages = {778 -- 780}
    }
    					
    rouat1984 J.Rouat; Mabilleau, P. & Adoul, J. Vector quantization: Speech coding and Speech recognition 1984 Twelfth biennial Symposium on Communications , pp. B.5.5-B.5.8   inproceedings
    BibTeX:
    @inproceedings{rouat1984,
      author = {J.Rouat and Ph. Mabilleau and J.P. Adoul},
      title = { Vector quantization: Speech coding and Speech recognition},
      booktitle = {Twelfth biennial Symposium on Communications},
      publisher = {Queen's University Queen's and Dept. Of Communications,
    Ottawa Univ.},
      year = {1984},
      pages = {B.5.5-B.5.8}
    }
    					

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