Publications

Cauté, M., Chemla, E. & Schlenker, P. (2024). Inconsistent effects of components as evidence for non-compositionality in chimpanzee face-gesture combinations? A response to Oña et al (2019) PeerJ, 12, e16800 . doi:10.7717/peerj.16800

Coye, C. , Veselinović, D., Candiotti, A. , Schlenker, P., Lemasson, A. & Chemla, E. (2024). Female Diana Monkeys (Cercopithecus diana) Have Complex Calls. Linguistic Inquiry, 1-10. doi:10.1162/ling_a_00535

Lussange, J., Vrizzi, S., Palminteri, S. & Gutkin, B. (2024). Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study. PloS one, 19(4), e0301141. doi:10.1371/journal.pone.0301141

Pellegrino, A., Stein, H. & Alex Cayco-Gajic, N. (2024). Dimensionality reduction beyond neural subspaces with slice tensor component analysis. Nature neuroscience, . doi:10.1038/s41593-024-01626-2

Schlenker, P., Salis, A., Leroux, M., Coye, C. , Rizzi, L., Steinert-Threlkeld, S. & Chemla, E. (2024). Minimal Compositionality versus Bird Implicatures: two theories of ABC-D sequences in Japanese tits. Biological reviews of the Cambridge Philosophical Society, . doi:10.1111/brv.13068

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

Altay, S., Majima, Y. & Mercier, H. (2023). Happy thoughts: The role of communion in accepting and sharing (mis)beliefs. The British journal of social psychology, . doi:10.1111/bjso.12650

Bai, D. & Strickland, B. (2023). The Pulfrich solidity illusion: a surprising demonstration of the visual system’s tolerance of solidity violations. Psychon Bull Rev. doi:10.3758/s13423-023-02271-9

Cremers, A., Wilcox, E. & Spector, B. (2023). Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs. Cognitive Science, 47(5), e13286. doi:https://onlinelibrary.wiley.com/doi/epdf/10.1111/cogs.13286

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

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

Herrera-Masurel, A., Altay, S. & Mercier, H. (2023). Does nuclear energy produce neodymium? Negative perception of nuclear energy drives the assumption that it is polluting. Journal of experimental psychology. Applied, 29(3), 572-583. doi:10.1037/xap0000477

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

Loza, E. , Amsellem, F., Zalla, T., Cartigny, A. , Leboyer, M., Delorme, R., Ramus, F. & Forgeot D'Arc, B. (2023). A mind-reading puzzle: Autistic people are more efficient at a theory-of-mind task. Research in Autism Spectrum Disorders, 101, 102105. doi:10.1016/j.rasd.2023.102105

Marie, A. , Altay, S. & Strickland, B. (2023). Moralization and extremism robustly amplify myside sharing. PNAS nexus, 2(4), pgad078. doi:10.1093/pnasnexus/pgad078

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

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

Proust, J. (2023). Affordances from a control viewpoint. Philosophical Psychology . doi:10.1080/09515089.2023.2274489

Acerbi , A., Yesilaltay , S. & Mercier, H. (2022). Research note: Fighting misinformation or fighting for information? Harvard Kennedy School (HKS) Misinformation Review, 3(1), 1-15. doi:10.37016/mr-2020-87

Branch-Smith, T. & Origgi, G. (2022). Social Indicators of Trust in the Age of Informational Chaos. Social Epistemology, 36(5), 533-540. doi:10.1080/02691728.2022.2121622

Branch-Smith, T. , Origgi, G. & Morisseau, T. (2022). Why Trust Raoult? How Social Indicators Inform the Reputations of Experts. Social Epistemology, 36(3), 299-316 . doi:10.1080/02691728.2022.2042421

Casati, R., Kulvicki, J. & Zeimbekis, J. (2022). Borgesian Maps . Analytic Philosophy, 63(2), 90–98. doi:10.1111/phib.12204

Cavanagh, P., Casati, R. & Elder , J. (2022). Scaling depth from shadow offset. Journal of Vision, 21(12), 15. doi:10.1167/jov.21.12.15

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

Dezecache, G. & Mercier, H. (2022). Emotional Vigilance. The Oxford Handbook of Evolution and the Emotions

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

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

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

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