Publications

Baumard, N., Safra, L., Martins, M. & Chevallier, C. (2023). Cognitive fossils: using cultural artifacts to reconstruct psychological changes throughout history. Trends in Cognitive Sciences, . doi:10.1016/j.tics.2023.10.001

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

Altay, S., Hacquin, A., Chevallier, C. & Mercier, H. (2023). Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. Journal of experimental psychology. Applied, 29(1), 52-62. doi:10.1037/xap0000400

Perroy, B. , Gurchani, U. & Casati, R. (2023). Disorientation and time distortions during the metro commute: An analysis of 456 responses to a questionnaire distributed in real time on Twitter during traffic disruptions in the Paris area. Quarterly journal of experimental psychology (2006), 17470218231163702. doi:10.1177/17470218231163702

A Cooper, E., Casati, R., Farid, H. & Cavanagh, P. (2023). The art of the float. Journal of vision, 23(8), 13. doi:10.1167/jov.23.8.13

Nguyen, T. , Kharitonov, E., Copet, J. , Adi, Y. , Hsu, W. , Elkahky, A. , Tomasello, P. , Algayres, R., Sagot, B., Mohamed, A. & Dupoux, E. (2023). Generative Spoken Dialogue Language Modeling. Transactions of the Association for Computational Linguistics, 11, 250–266. doi:10.1162/tacl_a_00545

Bernard, M., Poli, M. , Karadayi, J. & Dupoux, E. (2023). Shennong: A Python toolbox for audio speech features extraction. Behavior research methods, . doi:10.3758/s13428-022-02029-6

Metzler, H., Vilarem, E., Petschen, A. & Grèzes, J. (2023). Power pose effects on approach and avoidance decisions in response to social threat. PloS one, 18(8), e0286904. doi:10.1371/journal.pone.0286904

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 (Woodbury, N.Y.), 32(10), 101101. doi:10.1063/5.0117845

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

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

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington's disease: a lightweight speech test. Journal of neurology, 269(9), 5008-5021. doi:10.1007/s00415-022-11148-1

Beaurenaut, M., Mennella, R., Dezecache, G. & Grèzes, J. (2023). Prioritization of danger-related social signals during threat-induced anxiety. Emotion (Washington, D.C.), . doi:10.1037/emo0001231

Abdel Sater, R., Mus, M., Wyart, V. & Chevallier, C. (2023). A zero-cost attention-based approach to promote cleaner streets: A Signal Detection Theory approach in Parisian streets. PloS one, 18(4), e0284272. doi:10.1371/journal.pone.0284272

Grèzes, J., Risch, N., Courtet, P. , Olié, E. & Mennella, R. (2023). Depression and approach-avoidance decisions to emotional displays: The role of anhedonia. Behaviour Research and Therapy, 104306. doi:10.1016/j.brat.2023.104306

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

Engelen, T., Buot, A., Grèzes, J. & Tallon-Baudry, C. (2023). Whose emotion is it? Perspective matters to understand brain-body interactions in emotions. NeuroImage, 268, 119867. doi:10.1016/j.neuroimage.2023.119867

Boon-Falleur, M., Dormont, B. & Chevallier, C. (2022). Does higher perceived risk of morbidity and mortality decrease risk-taking? R. Soc. Open Sci., 9(220486). doi:10.1098/rsos.220486

Casati, R. (2022). Philosophie de l'océan. PUF

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

Baltazar, M. , Grèzes, J., Geoffray, M. , Picq, J. & Conty, L. (2021). Neural correlates of interoceptive accuracy: Beyond cardioception. EJN, 54(10), 7642-7653. doi:10.1111/ejn.15510

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

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

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

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Yesilaltay , S., Hacquin, A., Chevallier, C. & Mercier, H. (2021). Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. Journal of Experimental Psychology: Applied. doi:10.1037/xap0000400