Publications

Dehaene, S., Lau, H. & Kouider, S. (2017). What is consciousness, and could machines have it? Science (New York, N.Y.), 358(6362), 486-492. doi:10.1126/science.aan8871

Pajani, A., Kouider, S., Roux, P. & de Gardelle, V. (2017). Unsuppressible Repetition Suppression and exemplar-specific Expectation Suppression in the Fusiform Face Area. Scientific reports, 7(1), 160. doi:10.1038/s41598-017-00243-3

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Andrillon, T. & Kouider, S. (2020). The vigilant sleeper: neural mechanisms of sensory (de)coupling during sleep. Current Opinion in Physiology, 15, 47-59. doi:10.1016/j.cophys.2019.12.002

Teichmann, M., Dupoux, E., Kouider, S., Brugières, P., Boissé, M., Baudic, S., Cesaro, P., Peschanski, M. & Bachoud-Levi, A. (2005). The role of the striatum in rule application: the model of Huntington's disease at early stage. Brain, 128(5), 1155-1167. doi:10.1093/brain/awh472

Teichmann, M., Dupoux, E., Kouider, S. & Bachoud-Levi, A. (2006). The role of the striatum in processing language rules: Evidence from word perception in Huntington's disease. Journal of Cognitive Neuroscience, 18(9), 1555-1569

Kouider, S. (2012). The role of spatial switching in the attentional blink. The Spanish journal of psychology, 15(1), 3-9.

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

Nakamura, K., Dehaene, S., Jobert, A., Le Bihan, D. & Kouider, S. (2007). Task-specific change of unconscious neural priming in the cerebral language network. Proceedings of the National Academy of Sciences of the United States of America, 104(49), 19643-8. doi:10.1073/pnas.0704487104

Nakamura, K., Hara, N., Kouider, S., Takayama, Y., Hanajima, R., Sakai, K. & Ugawa, Y. (2006). Task-guided selection of the dual neural pathways for reading. Neuron, 52(3), 557-64. doi:10.1016/j.neuron.2006.09.030

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Faivre, N. & Kouider, S. (2014). Sustained invisibility through crowding and continuous flash suppression: a comparative review. Frontiers in psychology, 5, 475. doi:10.3389/fpsyg.2014.00475

Kouider, S. & Dupoux, E. (2005 ). Subliminal speech priming. Psychological Science, 16(8), 617-625

Dupoux, E., de Gardelle, V. & Kouider, S. (2008). Subliminal speech perception and auditory streaming. Cognition, 109(2), 267-273. doi:10.1016/j.cognition.2008.06.012

Kouider, S. & Dehaene, S. (2009). Subliminal number priming within and across the visual and auditory modalities. Experimental psychology, 56(6), 418-33. doi:10.1027/1618-3169.56.6.418

Nakamura, K., Dehaene, S., Jobert, A., Le Bihan, D. & Kouider, S. (2005). Subliminal convergence of Kanji and Kana words: further evidence for functional parcellation of the posterior temporal cortex in visual word perception. Journal of cognitive neuroscience, 17(6), 954-68. doi:10.1162/0898929054021166

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Pajani, A., Kok, P., Kouider, S. & De Lange, F. (2015). Spontaneous Activity Patterns in Primary Visual Cortex Predispose to Visual Hallucinations. The Journal of neuroscience : the official journal of the Society for Neuroscience, 35(37), 12947-53. doi:10.1523/JNEUROSCI.1520-15.2015

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Jacquot, A., Eskenazi, T., Sales{-}wuillemin, E., Montalan, B., Proust, J., Grèzes, J. & Conty, L. (2015). Source Unreliability Decreases but Does Not Cancel the Impact of Social Information on Metacognitive Evaluations . Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01385

Legendre, G., Andrillon, T., Koroma, M. & Kouider, S. (2019). Sleepers track informative speech in a multitalker environment. Nature Human Behaviour, 2397-3374. doi:10.1038/s41562-018-0502-5

Koroma, M., Lacaux, C. , Andrillon, T., Legendre, G., Léger, D. & Kouider, S. (2020). Sleepers Selectively Suppress Informative Inputs during Rapid Eye Movements. Current Biology, 30, 1-7. doi:10.1016/j.cub.2020.04.047

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Signatures of task learning in neural representations, Current Opinion in Neurobiology,, 83, 102759. doi:10.1016/j.conb.2023.102759

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Current opinion in neurobiology, 83, 102759. doi:10.1016/j.conb.2023.102759

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582