Publications

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Pasquinelli, E., Farina, M. , Bedel, A. & Casati, R. (2021). Naturalizing Critical Thinking: Consequences for Education, Blueprint for Future Research in Cognitive Science. Mind, Brain and Education, . doi:10.1111/mbe.12286

Kushnir, L. & Fusi, S. (2018). Neural Classifiers with Limited Connectivity and Recurrent Readouts. Journal of Neuroscience, 38 (46), 9900-9924. doi:10.1523/JNEUROSCI.3506-17.2018

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

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

Angeletos Chrysaitis, N. , Jardri, R., Denève, S. & Seriès, P. (2021). No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology, 17(9), e1009006. doi:10.1371/journal.pcbi.1009006

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

Palminteri, S. & Pessiglione, M. (2016). Opponent brain systems for reward and punishment learning: Causal evidence from drug and lesion studies in humans. Decision Neuroscience: An Integrative Perspective, 291-303. doi:10.1016/B978-0-12-805308-9.00023-3

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

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

Gutierrez, G. & Denève, S. (2018). Population adaptation in efficient balanced networks. eLife, 8, e46926. doi:10.7554/eLife.46926

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

Bernal Velasquez, R., Jacob, P., Kistler, M., Papineau, D. & Dokic, J. (2013). Précis of "E-Physicalism-a Physicalist Theory of Phenomenal Consciousness" Ideas Y Valores, 62(152 ), 268–297

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2021). Predictive learning as a network mechanism for extracting low-dimensional latent space representations. Nature Communications, 12(1417). doi:10.1038/s41467-021-21696-1

C M Gueguen, M., Anlló, H., Bonagura, D., Kong, J., Hafezi, S., Palminteri, S. & B Konova, A. (2023). Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. Biological psychiatry, . doi:10.1016/j.biopsych.2023.12.005

Martins, M. , Bianco, R. , Sammler, D. & Villringer, A. (2019). Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences. Human Brain Mapping , 40(4). doi:10.1002/hbm.24549

Martins, M. , Krause, C. , Neville, D. , Pino, D. , Villringer, A. & Obrig, H. (2019). Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions. Brain , 142(10), 3217-3229. doi:10.1093/brain/awz242

Bavard, S., Lebreton, M., Khamassi, M., Coricelli, G. & Palminteri, S. (2018). Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications, 9(4503)

Azzalini, D., Buot, A., Palminteri, S. & Tallon-Baudry, C. (2021). Responses to Heartbeats in Ventromedial Prefrontal Cortex Contribute to Subjective Preference-Based Decisions. Journal of Neuroscience, 41(23), 5102-5114. doi:10.1523/JNEUROSCI.1932-20.2021

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2020). Robust valence-induced biases on motor response and confidence in human reinforcement learning. Cognitive, Affective, & Behavioral Neuroscience, . doi:10.3758/s13415-020-00826-0

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

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Safra, L., Palminteri, S. & Chevallier, C. (2019). Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology, 15(7), e1007224. doi:10.1101/378281

Salvador, A., Worbe, Y., Delorme, C., Coricelli, G., Gaillard, R., Robbins, T., Hartmann, A. & Palminteri, S. (2017). Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome. Scientific reports, 7(1), 6292. doi:10.1038/s41598-017-06547-8

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

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

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

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

Najar, A., Bonnet, E., Bahador, B. & Palminteri, S. (2020). The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning. PLoS Biology, 18 (12), e3001028. doi:10.1371/journal.pbio.3001028

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