Publications

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

Chadwick, M., Metzler, H., Tijus, C., Armony, J. & Grèzes, J. (2018). Stimulus and observer characteristics jointly determine the relevance of threatening facial expressions and their interaction with attention. , 1-14. doi:10.1007/s11031-018-9730-2

Beaurenaut, M., Kovarski, K., Destais, C., Mennella, R. & Grèzes, J. (2024). Spontaneous instrumental approach-avoidance learning in social contexts in autism. Molecular autism, 15(1), 33. doi:10.1186/s13229-024-00610-8

Park, H., Correia, S., Ducorps, A. & Tallon-Baudry, C. (2014). Spontaneous fluctuations in neural responses to heartbeats predict visual detection. Nature Neuroscience, 17, 612–618. doi:10.1038/nn.3671

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

Csaba Farkas, B. , Baptista, A., Speranza, M., Wyart, V. & Jacquet, P. (2024). Specifying the timescale of early life unpredictability helps explain the development of internalising and externalising behaviours. Scientific reports, 14(1), 3563. doi:10.1038/s41598-024-54093-x

Salvador, A., Worbe, Y., Delorme, C., Coricelli, G., Gaillard, R., Robbins, T., Hartmann, A. & Palminteri, S. (2017). Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome. Scientific reports, 7(1), 6292. doi:10.1038/s41598-017-06547-8

Van De Riet, W., Grèzes, J. & De Gelder, B. (2009). Specific and common brain regions involved in the perception of faces and bodies and the representation of their emotional expressions. Social neuroscience, 4(2), 101-20. doi:10.1080/17470910701865367

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

Grandin, A. , Guillou, L., Abdel Sater, R., Foucault, M. & Chevallier, C. (2022). Socioeconomic status, time preferences and pro-environmentalism. Journal of Environmental Psychology, 79, 101720. doi:10.1016/j.jenvp.2021.101720

Safra, L., Baumard, N., Wyart, V. & Chevallier, C. (2020). Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks. PLoS ONE, 15(4), e0230011. doi:10.1371/journal.pone.0230011

Morin, O., Jacquet, P., Vaesen, K. & Acerbi , A. (2021). Social information use and social information waste. Phil. Trans. R. Soc. B, 376, 20200052. doi:10.1098/rstb.2020.0052

Safra, L., Palminteri, S. & Chevallier, C. (2019). Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology, 15(7), e1007224. doi:10.1101/378281

Dezecache, G., Conty, L. & Grèzes, J. (2013). Social affordances: is the mirror neuron system involved? The Behavioral and brain sciences, 36(4), 417-8. doi:10.1017/S0140525X12001872

Kohls, G., Chevallier, C., Troiani, V. & Schultz, R. (2012). Social 'wanting' dysfunction in autism: neurobiological underpinnings and treatment implications. Journal of neurodevelopmental disorders, 4(1), 10. doi:10.1186/1866-1955-4-10

De Falco, E., Solca, M., Bernasconi, F., Babo-Rebelo, M., Young, N., Sammartino, F., Tallon-Baudry, C., Navarro , V., R Rezai, A., Krishna, V. & Blanke, O. (2024). Single neurons in the thalamus and subthalamic nucleus process cardiac and respiratory signals in humans. Proceedings of the National Academy of Sciences of the United States of America, 121(11), e2316365121. doi:10.1073/pnas.2316365121

Boon-Falleur, M., Bouguen, A. , Charpentier, A. , Algan, Y., Huillery, E. & Chevallier, C. (2022). Simple questionnaires outperform behavioral tasks to measure socio-emotional skills in students. Scientifice Reports, 12(442). doi:10.1038/s41598-021-04046-5

Kret, M., Pichon, S., Grèzes, J. & De Gelder, B. (2011). Similarities and differences in perceiving threat from dynamic faces and bodies. An fMRI study. Neuroimage, 54(2), 1755-1762. doi:10.1016/j.neuroimage.2010.08.012

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

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Nettle, D., Chevallier, C., De Courson, B., A Johnson, E. , T Johnson, M. & E Pickett, K. (2024). Short-term changes in financial situation have immediate mental health consequences: implications for social policy. Social Policy & Administration, . doi:10.1111/spol.13065

Dubreuil, A. (2019). Short term memory properties of sensory neural architectures. Journal of Computational Neuroscience volume, 46, 321–332. doi:10.1007/s10827-019-00720-w

Ioannou, C., Zein, M., Wyart, V., Scheid, I., Amsellem, F., Delorme, R., Chevallier, C. & Grèzes, J. (2017). Shared mechanism for emotion processing in adolescents with and without autism. Scientific reports, 7, 42696. doi:10.1038/srep42696

Beiran, M., Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2021). Shaping dynamics with multiple populations in low-rank recurrent networks. Neural Computation, 33(6), 1572-1615. doi:10.1162/neco_a_01381 Article history

Southgate, V., Chevallier, C. & Csibra, G. (2010). Seventeen-month-olds appeal to false beliefs to interpret others' referential communication. Developmental science, 13(6), 907-12. doi:10.1111/j.1467-7687.2009.00946.x

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Separable neural signatures of confidence during perceptual decisions. eLife, 10, e68491. doi:10.7554/eLife.68491

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