ENS - Ecole Normale Supérieure
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Publications

Reviewed conference proceeding  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2020). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. In Arai K., Kapoor S., Bhatia R. (Eds.), Vol. 1252: In IntelliSys 2020. Advances in Intelligent Systems and Computing, 241-255. doi:10.1007/978-3-030-55190-2_19

International Journal article  

Locke, S., Gaffin-Cahn, E. , Hosseinizaveh, N. , Mamassian, P. & Landy, M. (2020). Priors and payoffs in confidence judgments. Attention, Perception, & Psychophysics, 82, 3158–3175. doi:10.3758/s13414-020-02018-x

International Journal article  

Ota, K. , Wu, Q. & Mamassian, P. (2020). Visual cue estimation with non-gaussian distribution. Journal of vision, 20(11). doi:10.1167/jov.20.11.1436

International Journal article  

Jovanovic, L. & Mamassian, P. (2020). Events are perceived earlier in peripheral vision. Current Biology, 30(21), R1299-R1300. doi:10.1016/j.cub.2020.08.096

Non-reviewed conference proceeding  

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Non-reviewed conference proceeding  

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

International Journal article  

Paraouty, N., Stasiak, A., Lorenzi, C., Varnet, L. & Winter, I. (2018). Dual coding of frequency modulation in the ventral cochlear nucleus. Journal of Neuroscience , 17. doi:10.1523/JNEUROSCI.2107-17.2018

International Journal article  

Ewert, S., Paraouty, N. & Lorenzi, C. (2018). A two-path model of auditory modulation detection using temporal fine structure and envelope cues. European Journal of Neuroscience. doi:10.1111/ejn.13846

International Journal article  

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Cracking the social code of speech prosody using reverse correlation. Proceedings of the National Academy of Sciences of the United States of America, 115(15), 3972-3977. doi:10.1073/pnas.1716090115

International Journal article  

Ponsot, E., Arias, P. & Aucouturier, J. (2018). Uncovering mental representations of smiled speech using reverse correlation. The Journal of the Acoustical Society of America, 143(1), EL19. doi:10.1121/1.5020989

International Journal article  

Bimbard, C., Demene, C. , Girard, C. , Radtke-Schuller, S., Shamma, S., Tanter, M. & Boubenec, Y. (2018). Multi-scale mapping along the auditory hierarchy using high-resolution functional UltraSound in the awake ferret. eLIFE. doi:10.7554/eLife.35028.001

International Journal article  

Pressnitzer, D., Graves, J., Chambers, C., de Gardelle, V. & Egré, P. (2018). Auditory Perception: Laurel and Yanny Together at Last. Current Biology, 28(13), R739-R741. doi:10.1016/j.cub.2018.06.002

International Journal article  

Wallaert, N., Varnet, L., Moore, B. & Lorenzi, C. (2018). Sensorineural hearing loss impairs sensitivity but spares temporal integration for detection of frequency modulation. J Acoust Soc Am. , 144(2), 720. doi:10.1121/1.5049364

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

International Journal article  

Carcagno, S., Micheyl, C., Cousineau, M., Pressnitzer, D. & Demany, L. (2018). Effect of stimulus type and pitch salience on pitch-sequence processing. The Journal of the Acoustical Society of America, 143(6), 3665. doi:10.1121/1.5043405

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  

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Reply to Knight et al.: The complexity of inferences from speech prosody should be addressed using data-driven approaches. Proceedings of the National Academy of Sciences of the United States of America, 115(27), E6104-E6105. doi:10.1073/pnas.1806857115

International Journal article  

Wong, D., Fuglsang , S., Hjortkjær, J., Ceolini, E., Slaney, M. & de Cheveigné, A. (2018). A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding. Frontiers in Neuroscience, 12, 1-16. doi:10.3389/fnins.2018.00531

International Journal article  

Zakharov, D., Krupa, M., Gutkin, B. & Kuznetsov, A. (2018). High-frequency forced oscillations in neuronlike elements. Physical Review E , 97(6). doi:10.1103/PhysRevE.97.062211

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  

Di Volo, M., Morozova, E., Lapish, C., Kuznetsov, A. & Gutkin, B. (2018). Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release. European Journal of Neuroscience, Special issue article. doi:10.1111/ejn.14147

International Journal article  

Volk, D., Dubinin, I., Gutkin, B., Myasnikova, A. & Nikulin, V. (2018). Cross-Frequency Synchrony Analysis. Frontiers in Neuroinformatics , 12, 72. doi:10.3389/fninf.2018.00072

International Journal article  

Novikov, N. & Gutkin, B. (2018). and Gamma Oscillations in Working Memory Functions. Psychology. Journal of Higher School of Economics, 15(1), 174-182

Book chapter  

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Other  
Other  

Lazarevich, I. , Gutkin, B. & Prokin, I. (2018). Neural activity classification with machine learning models trained on interspike interval series data. arxiv , 1810.03855

Other  

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925