Publications

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

Bourgeois-Gironde, S. & Ferreira, J. (2023). The expressive power of voting rules. Soc Choice Welf. doi:10.1007/s00355-023-01486-y

Schlenker, P. (2022). What It All Means. The MIT Press

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

Munuera, J., Ribes Agost, M., Bendetowicz, D., Kerebel, A., Chambon, V. & Lau, B. (2023). Intrinsic motivation for choice varies with individual risk attitudes and the controllability of the environment. PLoS computational biology, 19(8), e1010551. doi:10.1371/journal.pcbi.1010551

Vantrepotte, Q., Chambon, V. & Berberian, B. (2023). The reliability of assistance systems modulates the sense of control and acceptability of human operators. Scientific reports, 13(1), 14410. doi:10.1038/s41598-023-41253-8

Schlenker, P., Coye, C. , Leroux, M. & Chemla, E. (2023). The ABC-D of animal linguistics: are syntax and compositionality for real? Biological reviews of the Cambridge Philosophical Society, 98(4), 1142-1159. doi:10.1111/brv.12944

Palminteri, S. (2023). Choice-confirmation bias and gradual perseveration in human reinforcement learning. Behavioral neuroscience, 137(1), 78-88. doi:10.1037/bne0000541

Bavard, S. & Palminteri, S. (2023). The functional form of value normalization in human reinforcement learning. eLife, 12, e83891. doi:10.7554/eLife.83891

Vandendriessche, H. & Palminteri, S. (2023). Neurocognitive biases from the lab to real life. Communications biology, 6(1), 158. doi:10.1038/s42003-023-04544-4

Palminteri, S. & Cecchi, R. (2023). Objective models of subjective feelings. Neuroscience and biobehavioral reviews, 151, 105233. doi:10.1016/j.neubiorev.2023.105233

Cimesa, L., Ciric, L. & Ostojic, S. (2023). Geometry of population activity in spiking networks with low-rank structure. PLoS computational biology, 19(8), e1011315. doi:10.1371/journal.pcbi.1011315

Beiran, M., Meirhaeghe, N., Sohn, H., Jazayeri, M. & Ostojic, S. (2023). Parametric control of flexible timing through low-dimensional neural manifolds. Neuron, 111(5), 739-753.e8. doi:10.1016/j.neuron.2022.12.016

Molano-Mazón, M., Shao, Y., Duque, D., Robert Yang, G., Ostojic, S. & De La Rocha, J. (2023). Recurrent networks endowed with structural priors explain suboptimal animal behavior. Current biology : CB, 33(4), 622-638.e7. doi:10.1016/j.cub.2022.12.044

Shao, Y. & Ostojic, S. (2023). Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks. PLoS computational biology, 19(1), e1010855. doi:10.1371/journal.pcbi.1010855

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

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva, J., Hertz, U., Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2023). Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide. Research square, . doi:10.21203/rs.3.rs-2621222/v1

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

Baptista, A., Chambon, V., Hoertel, N., Olfson, M. , Blanco, C. , Cohen, D. & O Jacquet, P. (2023). Associations Between Early Life Adversity, Reproduction-Oriented Life Strategy, and Borderline Personality Disorder. JAMA psychiatry, . doi:10.1001/jamapsychiatry.2023.0694

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

Lenglin, V., Wong, S. , O'Callaghan, C. , Erzinçlioǧlu, S. , Hornberger, M., Lebouvier, T., Piguet, O., Bourgeois-Gironde, S. & Bertoux, M. (2023). Zero the hero: Evidence for involvement of the ventromedial prefrontal cortex in affective bias for free items. Cortex, 160, 24-42. doi:10.1016/j.cortex.2022.12.009

Garcia, B., Lebreton, M., Bourgeois-Gironde, S. & Palminteri, S. (2023). Experiential values are underweighted in decisions involving symbolic options. Nature human behaviour, . doi:10.1038/s41562-022-01496-3

Schlenker, P., Coye, C. , Steinert{-}threlkeld, S., Klinedinst, N. & Chemla, E. (2022). Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. Cognitive Science, 46(12), e13220 . doi:10.1111/cogs.13220

Chierchia, G. , Soukupová, M., Kilford, E., Griffin, C. , Leung, J. , Palminteri, S. & Blakemore, S. (2022). Confirmatory reinforcement learning changes with age during adolescence. Developmental Science, .(e13330). doi:10.1111/desc.13330

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Phil. Trans. R. Soc. B, 376, 20190665. doi:10.1098/rstb.2019.0665

Vandendriessche, H., Demmou, A. , Bavard, S., Yadak, J. , Lemogne, C. , Mauras, T. & Palminteri, S. (2022). Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias? Psychological Medicine, ., 1-11. doi:10.1017/S0033291722001593

Bavard, S. & Palminteri, S. (2021). Why unchosen options linger in our minds. Communications Biology , 4, 1271. doi:10.1038/s42003-021-02803-w

Barbosa, J., Babushkin, V. , Temudo, A. , Sreenivasan, K. & Compte, A. (2021). Across-Area Synchronization Supports Feature Integration in a Biophysical Network Model of Working Memory. Front. Neural Circuits. doi:10.3389/fncir.2021.716965

Stein, H., Barbosa, J. & Compte, A. (2021). Towards biologically constrained attractor models of schizophrenia. Current Opinion in Neurobiology, 70, 171-181. doi:10.1016/j.conb.2021.10.013

Joao, B., Lozano-Soldevilla, D. & Compte, A. (2021). Pinging the brain with visual impulses reveals electrically active, not activity-silent, working memories. PLOS Biology, 20(3), e3001603. doi:10.1371/journal.pbio.3001436