ENS - Ecole Normale Supérieure
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Publications

International Journal article  

Paraouty, N., Ewert, S., Wallaert, N. & Lorenzi, C. (2016). Interactions between amplitude modulation and frequency modulation processing: Effects of age and hearing loss. The Journal of the Acoustical Society of America, 140(1), 121. doi:10.1121/1.4955078

International Journal article  

Li, K., Rajendran, V., Mishra, A. , Chan, C. & Schnupp, J. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research, 409, 108331. doi:10.1016/j.heares.2021.108331

International Journal article  

Joly, O., Ramus, F., Pressnitzer, D., Vanduffel, W. & Orban, G. (2012). Interhemispheric differences in auditory processing revealed by fMRI in awake rhesus monkeys. Cerebral cortex (New York, N.Y. : 1991), 22(4), 838-53. doi:10.1093/cercor/bhr150

International Journal article  

PELOFI, C., de Gardelle, V., Egré, P. & Pressnitzer, D. (2017). Interindividual variability in auditory scene analysis revealed by confidence judgements. Philosophical Transactions of the Royal Society: Biological Science, 372. doi:10.1098/rstb.2016.0107

International Journal article  

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

International Journal article  

Gwilliams, L., Flick, G., Marantz, A. , Pylkkänen, L., Poeppel, D. & King, J. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific data, 10(1), 862. doi:10.1038/s41597-023-02752-5

International Journal article  

Buchin, A., Rieubland, S., Häusser, M., Gutkin, B. & Roth, A. (2016). Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS computational biology, 12(8), e1005000. doi:10.1371/journal.pcbi.1005000

International Journal article  

Ardoint, M., Lorenzi, C., Pressnitzer, D. & Gorea, A. (2008). Investigation of perceptual constancy in the temporal-envelope domain. The Journal of the Acoustical Society of America, 123(3), 1591-601. doi:10.1121/1.2836782

International Journal article  

Calcus, A., Lorenzi, C., Collet, G., Colin, C. & Kolinsky, R. (2016). Is There a Relationship Between Speech Identification in Noise and Categorical Perception in Children With Dyslexia? Journal of speech, language, and hearing research : JSLHR, 59(4), 835-52. doi:10.1044/2016_JSLHR-H-15-0076

International Journal article  

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage, 98, 487-505. doi:10.1016/j.neuroimage.2014.05.068

International Journal article  

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation: a versatile tool for multichannel data analysis. NeuroImage, 98(487-505). doi:10.1016/j.neuroimage.2014.05.068

International Journal article  

Francis, N., Elgueda, D., Englitz, B., Fritz, J. & Shamma, S. (2018). Laminar profile of task-related plasticity in ferret primary auditory cortex. Scientific reports, 8(1), 16375. doi:10.1038/s41598-018-34739-3

International Journal article  

Shamma, S., Patel, P. , Mukherjee, S. , Marion, G. , Khalighinejad, B. , Han, C. , Herrero, J. , Bickel, S. , Mehta, A. & Mesgarani, N. (2021). Learning Speech Production and Perception through Sensorimotor Interactions. Cerebral Cortex Communications, 2(1), taag091. doi:10.1093/texcom/tgaa091

International Journal article  

Di Liberto, G., Wong, D., Melnik, G. & de Cheveigné, A. (2019 ). Low-frequency cortical responses to natural speech reflect probabilistic phonotactics. NeuroImage, 196, 237-247. doi:10.1016/j.neuroimage.2019.04.037

International Journal article  

Peiffer-Smadja, N. , Maatoug, R. , Lescure, F. , D’Ortenzio, E. , Pineau, J. & King, J. (2020). Machine Learning for COVID-19 needs global collaboration and data-sharing. Nat Mach Intell, . doi:10.1038/s42256-020-0181-6

International Journal article  

Dumont, G. & Gutkin, B. (2019). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLOS Computational Biology . doi:10.1371/journal.pcbi.1007019

International Journal article  

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311

International Journal article  

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

International Journal article  

Ego-Stengel, V. , Abbasi, A. , Larroche, M. , Lassagne, H. , Boubenec, Y. & Shulz, D. (2019). Mechanical coupling through the skin affects whisker movements and tactile information encoding. Journal of neurophysiology, 122(4), 1606-1622. doi:10.1152/jn.00863.2018

International Journal article  

Oster, A., Faure, P. & Gutkin, B. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience, 9, 95. doi:10.3389/fncom.2015.00095

International Journal article  

Ponsot, E., Varnet, L., Wallaert, N., Daoud, E., Shamma, S., Lorenzi, C. & Neri, P. (2021). Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners. Trends Hear, 25, 2331216520978029. doi:10.1177/2331216520978029

International Journal article  

Kang, H. , Lancelin, D. & Pressnitzer, D. (2018). Memory for Random Time Patterns in Audition, Touch, and Vision. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.03.017

International Journal article  

Deperrois, N., Moiseeva, V. & Gutkin, B. (2019). Minimal Circuit Model of Reward Prediction Error Computations and Effects of Nicotinic Modulations. Frontiers in neural circuits, 12, 116. doi:10.3389/fncir.2018.00116

International Journal article  

Keramati, M., Ahmed, S. & Gutkin, B. (2017). Misdeed of the need: towards computational accounts of transition to addiction. Current opinion in neurobiology, 46, 142-153. doi:10.1016/j.conb.2017.08.014

International Journal article  

Krupa, M., Gutkin, B. & Zakharov, D. (2020). Modeling dopaminergic modulation of clustered gamma rhythms. Communications in Nonlinear Science and Numerical Simulation, 82(105086), 1-10. doi:10.1016/j.cnsns.2019.105086

International Journal article  

Graupner, M. & Gutkin, B. (2009). Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms. Acta Pharmacologica Sinica, 30(6), 681-693. doi:10.1038/aps.2009.87

International Journal article  

Goodman, D., Winter, I., Léger, A., de Cheveigné, A. & Lorenzi, C. (2018). Modelling firing regularity in the ventral cochlear nucleus: Mechanisms, and effects of stimulus level and synaptopathy. Hearing research, 358, 98-100. doi:10.1016/j.heares.2017.09.010

International Journal article  

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

International Journal article  

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

International Journal article  

Maravall, M., Ostojic, S., Pressnitzer, D. & Chait, M. (2018). More than the Sum of its Parts: Perception and Neuronal Underpinnings of Sequence Processing. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.07.043