Publications

Jacquet, P., Safra, L., Wyart, V., Baumard, N. & Chevallier, C. (2019). The ecological roots of human susceptibility to social influence: a pre-registered study investigating the impact of early-life adversity. Royal Society Open Science, 6(1), 180454. doi:10.1098/rsos.180454

Sijilmassi, A. , Safra, L. & Baumard, N. (2024). 'Our Roots Run Deep': Historical Myths as Culturally Evolved Technologies for Coalitional Recruitment. The Behavioral and brain sciences, ., 1-44. doi:10.1017/S0140525X24000013

Yesilaltay , S., De Araujo, E. & Mercier, H. (2022). “If this account is true, it is most enormously wonderful”: Interestingness-if-true and the sharing of true and false news. Digital Journalism, 10(3), 373-394. doi:10.1080/21670811.2021.1941163

Sonié, S., Kassai, B., Pirat, E., Masson, S., Bain, P., Robinson, J., Reboul, A., Wicker, B., Chevallier, C., Beaude-Chervet, V., Deleage, M., Charvet, D., Barthélémy, C., Rochet, T., Tatou, M., Arnaud, V. & Manificat, S. (2011). [French version of screening questionnaire for high-functioning autism or Asperger syndrome in adolescent: Autism Spectrum Quotient, Empathy Quotient and Systemizing Quotient. Protocol and questionnaire translation]. Presse medicale (Paris, France : 1983), 40(4 Pt 1), e181-8. doi:10.1016/j.lpm.2010.07.016

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Claidière, N., Jraissati, Y. & Chevallier, C. (2008). A Colour Sorting Task Reveals the Limits of the Universalist/Relativist Dichotomy. Journal of Culture and Cognition , 8, 211–233

Grèzes, J., Valabrègue, R., Gholipour, B. & Chevallier, C. (2014). A direct amygdala-motor pathway for emotional displays to influence action: A diffusion tensor imaging study. Human brain mapping, 35(12), 5974-83. doi:10.1002/hbm.22598

Miton, H., Sperber, D. & Hernik, M. (2020). A forward bias in human profile-oriented portraits . Cognitive Science, 44(6), e12866. doi:10.1111/cogs.12866

Leptourgos, P., Bouttier, V., Jardri, R. & Denève, S. (2021). A functional theory of bistable perception based on dynamical circular inference. Plos Computational Biology, 16(12), e1008480. doi:10.1371/journal.pcbi.1008480

Mastrogiuseppe, F. & Ostojic, S. (2019). A geometrical description of global dynamics in trained feedback networks. Neural Computation, 31(6), 1139-1182. doi:10.1162/neco_a_01187

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Novikov, N., Zakharov, D., Moiseeva, V. & Gutkin, B. (2021). Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs. Front. Neural Circuits. doi:10.3389/fncir.2021.647944

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

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

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

Farrell, H. , Mercier, H. & Schwartzberg, M. (2022). Analytical Democratic Theory: A Microfoundational Approach. American Political Science Review. doi:10.1017/S0003055422000715

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Novikov, N. & Gutkin, B. (2018). and Gamma Oscillations in Working Memory Functions. Psychology. Journal of Higher School of Economics, 15(1), 174-182

Claidière, N., Trouche, E. & Mercier, H. (2017). Argumentation and the diffusion of counter-intuitive beliefs. Journal of experimental psychology. General, 146(7), 1052-1066. doi:10.1037/xge0000323

Mercier, H., Hacquin, A. & Claidière, N. (2021). Being Easy to Communicate Might Make Verdicts Based on Confessions More Legitimate. Journal of Cognition and Culture, 21(3-4), 203-225. doi:10.1163/15685373-12340104

Mell, H., Baumard, N. & Andre, J. (2017). Both collection risk and waiting costs give rise to the behavioral constellation of deprivation. Behavioral and brain sciences, 40, e333. doi:10.1017/S0140525X17001030

Chevallier, C., Grèzes, J., Molesworth, C., Berthoz, S. & Happé, F. (2012). Brief report: Selective social anhedonia in high functioning autism. Journal of autism and developmental disorders, 42(7), 1504-9. doi:10.1007/s10803-011-1364-0

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

Spalla, D. , Dubreuil, A., Rosay, S. , Monasson, R. & Treves, A. (2019). Can Grid Cell Ensembles Represent Multiple Spaces? Neural computation, 31(12), 2324-2347. doi:10.1162/neco_a_01237

Palminteri, S. & Chevallier, C. (2018). Can We Infer Inter-Individual Differences in Risk-Taking From Behavioral Tasks? Frontiers in psychology, 9, 2307. doi:10.3389/fpsyg.2018.02307

Lanore, F. , Cayco Gajic, A., Gurnani, H. , Coyle, D. & Angus Silver, R. (2021). Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience, 24, 1142-1150. doi:10.1038/s41593-021-00873-x