Publications

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

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

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

Makin, T. & de Vignemont, F. (2020). Soft Embodiment for Engineering Artificial. Trends in Cognitive, 4(12), 965-968. doi:10.1016/j.tics.2020.09.008

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

Longo, M., Rajapakse , S., Alsmith, A. & Ferre , F. (2020). Shared contributions of the head and torso to spatial reference frames across spatial judgments. Cognition, .

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

van der Veer, A. , Longo, M. , Alsmith, A., Wong, H. & Mohler, B. (2019). Self and body part localization in virtual reality: Comparing a headset and a large-screen immersive display. Frontiers in Robotics and AI, 6, 33. doi:10.3389/frobt.2019.00033

de Vignemont, F. (2018). Schéma corporel et image corporelle. In De Boeck/Solal (Eds.), Manuel de psychomotricité

Novikov, N. & Gutkin, B. (2020). Role of synaptic nonlinearity in persistent firing rate shifts caused by external periodic forcing. PHYSICAL REVIEW E, 101(5), 052408. doi:10.1103/PhysRevE.101.052408

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609

Novikov, N. & Gutkin, B. (2016). Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity. Physical review. E, 94(5-1), 052313. doi:10.1103/PhysRevE.94.052313

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

Kop, J. & Kouider, S. (2011). Response interference in compatibility tasks. Experimental psychology, 58(4), 257-70. doi:10.1027/1618-3169/a000092

Buchin, A., Chizhov, A., Huberfeld, G., Miles, R. & Gutkin, B. (2016). Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. The Journal of Neuroscience, 36(46), 11619--11633. doi:10.1523/JNEUROSCI.4228-15.2016

Completo Guerreiro, I., Gu, Z., Yakel, J. & Gutkin, B. (2022). Recurring Cholinergic Inputs Induce Local Hippocampal Plasticity through Feedforward Disinhibition. eNeuro. doi:10.1523/ENEURO.0389-21.2022

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Random perturbations of spiking activity in a pair of coupled neurons. Theory in Biosciences, 127(2), 135-139. doi:10.1007/s12064-008-0039-7

Gelskov, S. & Kouider, S. (2010). Psychophysical thresholds of face visibility during infancy. Cognition, 114(2), 285-92. doi:10.1016/j.cognition.2009.09.012