Publications

Duriez, A., Bergerot, C., J Cone, J., F Roitman, M. & Gutkin, B. (2023). Homeostatic Reinforcement Theory Accounts for Sodium Appetitive State- and Taste-Dependent Dopamine Responding. Nutrients, 15(4), 1015. doi:10.3390/nu15041015

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

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2022). Multistability and evolution of chimera states in a network of type II Morris–Lecar neurons with asymmetrical nonlocal inhibitory connections. Chaos , 32, 101101. doi:10.1063/5.0117845

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

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Multistability of coherent states in ring networks of type II neurons with asymmetrical nonlocal inhibitory connectivity. Journal of Computational Neuroscience. doi:10.1016/j.chaos.2021.111541

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

Anlló, H., Katsumi, W., Sackur, J. & de Gardelle, V. (2022). Effects of false statements on visual perception hinge on social suggestibility. J Exp Psychol Hum Percept Perform, 48(8), 889–900. doi:10.1037/xhp0001024

Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S., Jehee, J., Lau, H., Lee, A., Locke, S., Mamassian, P., Odegaard, B., Peters, M., Reyes, G., Rouault, M., Sackur, J., Samaha, J., Sergent, C., Sherman, M., Siedlecka, M., Soto, D., Vlassova, A. & Zylberberg, A. (2022). Consensus goals for the field of visual metacognition. Perspectives on Psychological Science, . doi:10.1177/17456916221075615

Landry, M., Da Silva Castanheira , J., Sackur, J. & Raz, A. (2021). Difficult Turned Easy: Suggestion Renders a Challenging Visual Task Simple. Psychological Science, 32(1), 39-49. doi:10.1177/0956797620954856

Rouy, M. , de Gardelle, V., Reyes, G., Sackur, J., Vergnaud , J., Filevich, E. & Nathan, F. (2022). Metacognitive improvement: Disentangling adaptive training from experimental confounds. Journal of Experimental Psychology: General. doi:10.1037/xge0001185

Kharitonov, E. , Polyak, A. , Adi, Y. , Copet, J. , Lakhotia, K. , Nguyen, T. , Rivière, M., Mohamed, A., Dupoux, E. & Hsu, W. (2022). Text-Free Prosody-Aware Generative Spoken Language Modeling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 8666–8681. doi:10.18653/v1/2022.acl-long.593

Winkler, M. , Dumont, G., Schöll, E. & Gutkin, B. (2021). Phase response approaches to neural activity models with distributed delay. Bio Cybern. doi:10.1007/s00422-021-00910-9

Bastian, M. & Sackur, J. (2013). Mind wandering at the fingertips: automatic parsing of subjective states based on response time variability. Frontiers in psychology, 4, 573. doi:10.3389/fpsyg.2013.00573

Bastian, M., Lerique, S., Adam, V., Franklin, M., Schooler, J. & Sackur, J. (2017). Language facilitates introspection: Verbal mind-wandering has privileged access to consciousness. Consciousness and cognition, 49, 86-97. doi:10.1016/j.concog.2017.01.002

Battaglini, L., Mioni, G. , Casco, C., Contemori, G. & Konishi, M. (2020). Probing the effect of the expected-speed violation illusion. Psychological Research, . doi:https://doi.org/10.1007/s00426-020-01426-w

Becchio, J., Sackur, J. & Anlló, H. (2017). French Norms for the Harvard Group Scale of Hypnotic Susceptibility, Form A. The International journal of clinical and experimental hypnosis, 65(2), 241-255. doi:10.1080/00207144.2017.1276369

Berlemont, K., Martin, J., Sackur, J. & Nadal, J. (2020). Nonlinear neural network dynamics accounts for human confidence in a sequence of perceptual decisions. Scientific Reports, 10, 7940. doi:10.1038/s41598-020-63582-8

Buchin, A., Kerr, C., Huberfeld, G., Miles, R. & Gutkin, B. (2018). Adaptation and Inhibition Control Pathological Synchronization in a Model of Focal Epileptic Seizure. eNeuro, 5(5), 0019-18. doi:10.1523/ENEURO.0019-18.2018

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

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

Canavier, C., Evans, R., Oster, A., Pissadaki, E., Drion, G., Kuznetsov, A. & Gutkin, B. (2016). Implications of cellular models of dopamine neurons for disease. Journal of neurophysiology, 116(6), 2815-2830. doi:10.1152/jn.00530.2016

Cayco Gajic, A. & Zylberberg, A. (2021). Good decisions require more than information. Nature Neuroscience, 2', 903-904. doi:10.1038/s41593-021-00883-9

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

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

Chalk, M., Gutkin, B. & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife, . doi:10.7554/eLife.13824

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Corallo, G., Sackur, J., Dehaene, S. & Sigman, M. (2008). Limits on introspection: distorted subjective time during the dual-task bottleneck. Psychological science, 19(11), 1110-7. doi:10.1111/j.1467-9280.2008.02211.x

Daphné, R., Viola, S., Sackur, J. & Claire, S. (2019). Retrospective auditory cues can improve detection of near-threshold visual targets. Scientific Reports, 9, 18966. doi:10.1038/s41598-019-55261-0

David, A., Mahiko, K., Sackur, J. & Vincent De, G. (2021). Confidence can be automatically integrated across two visual decisions. Journal of Experimental Psychology: Human Perception and Performance, 47(2), 161-171. doi:10.1037/xhp0000884