Publications

Palminteri, S., Kilford, E., Coricelli, G. & Blakemore, S. (2016). The Computational Development of Reinforcement Learning during Adolescence. PLoS Computational Biology, 12(6). doi:10.1371/journal.pcbi.1004953

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., De Wit, S., Robbins, T., Hartmann, A. & Worbe, Y. (2016). Enhanced habit formation in Gilles de la Tourette syndrome. Brain : a journal of neurology, 139(Pt 2), 605-15. doi:10.1093/brain/awv307

Mell, H., Safra, L., Baumard, N. & Jacquet, P. (2017). Climate is not a good candidate to account for variations in aggression and violence across space and time. The Behavioral and brain sciences, 40, e91. doi:10.1017/S0140525X16001060

Dezecache, G., Eskenazi, T. & Grèzes, J. (2016). Emotional Convergence: A Case of Contagion? In Sukhvinder D. Obhi & Emily S. Cross (Eds.), Shared Representations: Sensorimotor Foundations of Social Life (Cambridge University Press ed., pp. 417).

Grèzes, J. & Dezecache, G. (2012). Communication émotionnelle: mécanismes cognitifs et cérébraux. In P. Allain, G. Aubin & D. Le Gal (Eds.), Cognition Sociale et NeuropsychologieSolal

Collins, T. & Jacquet, P. (2018). TMS over posterior parietal cortex disrupts trans-saccadic visual stability. Brain stimulation, 11(2), 390-399. doi:10.1016/j.brs.2017.11.019

Jacquet, P. & Avenanti, A. (2015). Perturbing the action observation network during perception and categorization of actions' goals and grips: state-dependency and virtual lesion TMS effects. Cerebral cortex (New York, N.Y. : 1991), 25(3), 598-608. doi:10.1093/cercor/bht242

Lefebvre, G., Lebreton, M., Meyniel, F., Bourgeois-Gironde, S. & Palminteri, S. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour , 1(4), 0067

Lunven, M., Hernandez Dominguez, K., Youssov, K., Hamet Bagnou, J., Fliss, R. , Vandendriessche, H., Bapst, B. , Morgado, G., Remy, P., Schubert, R. , Reilmann, R., Busse, M., Craufurd, D., Massart, R., Rosser, A. & Bachoud-Levi, A. (2023). A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington's disease. Brain communications, 5(2), fcad043. doi:10.1093/braincomms/fcad043

Barbosa, J., Stein, H., Zorowitz, S. , Niv, Y. , Summerfield, C., Soto-Faraco, S. & Hyafil, A. (2022). A practical guide for studying human behavior in the lab. Comportement Res, 55, 58-76. doi:10.3758/s13428-022-01793-9

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

El Zein, M., Mennella, R., Meaux, E., Wyart, V. & Grèzes, J. (2024). Prioritized neural processing of social threats during perceptual decision-making. iScience, 27(6), 109951. doi:10.1016/j.isci.2024.109951

Chung, V., Grèzes, J. & Pacherie, E. (2023). Collective Emotion: A Framework for Experimental Research. Emotion Review, 16(1), 28-45. doi:10.1177/17540739231214533

Ostojic, S. & Fusi, S. (2024). Computational role of structure in neural activity and connectivity. Trends in cognitive sciences, 28(7), 677-690. doi:10.1016/j.tics.2024.03.003

Collomb-Clerc, A., C M Gueguen, M., Minotti, L., Kahane, P., Navarro , V., Bartolomei, F., Carron, R., Régis, J., Chabardès, S., Palminteri, S. & Bastin, J. (2023). Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning. Nature communications, 14(1), 6534. doi:10.1038/s41467-023-42380-6

Ting, C. , Salem-Garcia, N., Palminteri, S., B Engelmann, J. & Lebreton, M. (2023). Neural and computational underpinnings of biased confidence in human reinforcement learning. Nature communications, 14(1), 6896. doi:10.1038/s41467-023-42589-5

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., José Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva Concha, J., Hertz, U., B Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2024). Comparing experience- and description-based economic preferences across 11 countries. Nature human behaviour, 8(8), 1554-1567. doi:10.1038/s41562-024-01894-9

Yax, N. , Anlló, H. & Palminteri, S. (2024). Studying and improving reasoning in humans and machines. Communications Psychology volume, 2(51). doi:10.1038/s44271-024-00091-8

Salem-Garcia, N., Palminteri, S. & Lebreton, M. (2023). Linking confidence biases to reinforcement-learning processes. Psychological review, 130(4), 1017–1043. doi:10.1037/rev0000424

Bouton, S., Chevallier, C., Hallimat Cissé, A., Heude, B. & Jacquet, P. (2024). Metabolic trade-offs in childhood: Exploring the relationship between language development and body growth. Developmental science, 27(4), e13493. doi:10.1111/desc.13493

Baumard, N., Safra, L., Martins, M. & Chevallier, C. (2024). Cognitive fossils: using cultural artifacts to reconstruct psychological changes throughout history. Trends in cognitive sciences, 28(2), 172-186. doi:10.1016/j.tics.2023.10.001

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

Mus, M., Mercier, H. & Chevallier, C. (2023). Designing an acceptable and fair carbon tax: The role of mental accounting. Plos Climate, 2(10), e0000227. doi:10.1371/journal.pclm.0000227

Thouzeau, V., Bollée, J. , Cristia, A. & Chevallier, C. (2023). Decades of Trivers-Willard research on humans: What conclusions can be drawn? Evolution and Human Behavior, 44(4). doi:10.1016/j.evolhumbehav.2023.03.005