Publications

Lebreton, M., Bacily , K., Palminteri, S. & Engelmann, J. (2019). Contextual influence on confidence judgments in human reinforcement learning. PLoS Comput Biol, 15(4), e1006973. doi:10.1371/journal.pcbi.1006973

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772

Latimier, A. , Riegert, A. , Ly, S. , Peyre, H., Casati, R. & Ramus, F. (2019). Does pre-testing promote better retention than post-testing? npj Science of Learning, 4(15). doi:10.1038/s41539-019-0053-1

Kovarski, K., Mennella, R., Wong, S., Dunkley, B., Taylor, M. & Batty, M. (2019). Enhanced Early Visual Responses During Implicit Emotional Faces Processing in Autism Spectrum Disorder. Journal of autism and developmental disorders, 49(3), 871-886. doi:10.1007/s10803-018-3787-3

Hertz, U., Palminteri, S., Brunetti, S., Olesen, C., Frith, C. & Bahrami, B. (2017). Neural computations underpinning the strategic management of influence in advice giving. Nature communications, 8(1), 2191. doi:10.1038/s41467-017-02314-5

Giavazzi, M., Daland, R., Palminteri, S., Peperkamp, S., Brugières, P., Jacquemot, C., Schramm, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2018 ). The role of the striatum in linguistic selection: Evidence from Huntington’s disease and computational modeling. Cortex, 109, 189-204. doi:10.1016/j.cortex.2018.08.031

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical transactions of the royal society B, 376(1819). doi:10.1098/rstb.2019.0665

Fortier, M. (2017). Pour une science de la diversité de la conscience: vers une redéfinition ltidimensionnelle des états modifiés de conscience. Intellectica, 67, 27-62

Fontanesi , L., Palminteri, S. & Lebreton, M. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. Cognitive Affective Behavioral Neuroscience, 1-13. doi:10.3758/s13415-019-00723-1

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Fernandez-Velasco, P., Perroy, B. & Casati, R. (2021). The collective disorientation of the COVID-19 crisis. Global Discourse: An interdisciplinary journal of current affairs, 11(3), 44&-462. doi:10.1332/204378921X16146158263164

Fernandez-Velasco, P. & Casati, R. (2020). The many faces of disorientation: a response to Daniel R. Montello. Spatial Cognition & Computation , 20(4), 314-327. doi:10.1080/13875868.2020.1772267

Fernandez-Velasco, P. & Casati, R. (2020). Subjective disorientation as a metacognitive feeling. Spatial Cognition & Computation, 20(11), 1-25. doi:10.1080/13875868.2020.1768395

E. Santos, P. , Cabalar, P. & Casati, R. (2019). The knowledge of knots: an interdisciplinary literature review. Spatial Cognition & Computation , 19(4), 334-358. doi:10.1080/13875868.2019.1667998

Dumas , G., Fortier, M. & Gonzalez , J. (2017). Les enjeux des états modifiés de la conscience et de la cognition: limites passées et émergence de nouveaux paradigmes.  Intellectica, 67, 7-24

Dokic, J. & Arcangeli, M. (2020). At the Limits: What Drives Experiences of the Sublime. British Journal of Aesthetics, 61(2), 145–161 . doi:10.1093/aesthj/ayaa030

de Vignemont, F. (2021). Fifty Shades of Affective Colouring of Perception. Australasian Journal of Philosophy. doi:10.1080/00048402.2021.1965176

Correa, C. , Noorman, S. , Jiang, J. , Palminteri, S., Cohen, M. , Lebreton, M. & van Gaal, S. (2018). How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. Journal of Neuroscience , 0457-18. doi:10.1523/JNEUROSCI.0457-18.2018

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

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Chambon, V., Thero, H., Vidal, M., Vandendriessche, H., Haggard, P. & Palminteri, S. (2020). Information about action outcomes differentially affects learning from self-determined versus imposed choices. Nature Human Behaviour , 4, 1067-1079. doi:10.1038/s41562-020-0919-5

Cavanagh, P., Casati, R. & Elder , J. (2018). Tight shadows shrink depth. Journal of Vision, 18, 493. doi:10.1167/18.10.493

Casati, R., Kulvicki, J. & Zeimbekis, J. (2020). Borgesian maps. Analytic Philosophy , . doi:10.1111/phib.12204

Casati, R. (2020). Technical report on Chapter 0 (Numero Zero) of Cognition in the Wind – Taqwim navigation, May 10-16, 2018.

Casati, R. & Varzi, A. (2020). A Slow Impossible Mirror Picture. Perception , 49(12), 1375-1378. doi:10.1177/0301006620967882

Casati, R. (2019). Drawing problems: thought in action. Adaptive Behavior, . doi:10.1177/1059712319861551

Casati, R., Cavanagh, P. & Santos, P. (2018). Perception, cognition and reasoning about shadows. Spatial Cognition & Computation, 18(2), 78-85. doi:10.1080/13875868.2017.1377204

Bouchacourt, F., Palminteri, S., Koechlin, E. & Ostojic, S. (2020). Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife, 9, e50469. doi:10.7554/eLife.50469

Bernard, A., Bredeche, N. & Andre, J. (2020). Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters, 4(3), 257-265. doi:10.1002/evl3.155