Publications

Vrizzi, S., Najar, A., Lemogne, C. , Palminteri, S. & Lebreton, M. (2025). Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics. Nature Mental Health, 3, 654–666. doi:10.1038/s44220-025-00427-1

M Hayes, W., Yax, N. & Palminteri, S. (2025). Relative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation. Open mind : discoveries in cognitive science, 15(10), 989-1001. doi:10.1162/opmi_a_00209

Turner, G., M Ferguson, A., Katiyar, T., Palminteri, S. & Orben, A. (2025). Old Strategies, New Environments: Reinforcement Learning on Social Media. Biological psychiatry, 97(10), 989-1001. doi:10.1016/j.biopsych.2024.12.012

Shao, Y., Dahmen, D. , Recanatesi, S., Shea-Brown, E. & Ostojic, S. (2025). Impact of Local Connectivity Patterns on Excitatory-Inhibitory Network Dynamics. PRX Life, 3(023008). doi:10.1103/PRXLife.3.023008

Tomova, L., Towner, E., Thomas, K., Zhang , L., Palminteri, S. & Blakemore, S. (2025). Acute isolation is associated with increased reward seeking and reward learning in human adolescents. Communications psychology, 3(1), 135. doi:10.1038/s44271-025-00306-6

Palminteri, S. (2025). Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy. Mind Soc. doi:10.1007/s11299-025-00329-w

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

Leclercq, S., Szaffarczyk, S., Leptourgos, P., Yger, P., Fakhri, A., Wathelet, M., Bouttier, V., Denève, S. & Jardri, R. (2024). Conspiracy beliefs and perceptual inference in times of political uncertainty. Scientific reports, 14(1), 9001. doi:10.1038/s41598-024-59434-4

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

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

Findling, C. & Wyart, V. (2024). Computation noise promotes zero-shot adaptation to uncertainty during decision-making in artificial neural networks. Science Advances, 10(44). doi:10.1126/sciadv.adl3931

C M Gueguen, M., Anlló, H., Bonagura, D., Kong, J., Hafezi, S., Palminteri, S. & B Konova, A. (2024). Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. Biological psychiatry, 95(10), 974-984. doi:10.1016/j.biopsych.2023.12.005

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

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

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, 130(4), 1017–1043. doi:10.1037/rev0000424

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

Derome, M., Kozuharova, P., O Diaconescu, A., Denève, S., Jardri, R. & Allen, P. (2023). Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage, 278, 120280. doi:10.1016/j.neuroimage.2023.120280

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

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

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

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

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

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

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

Palminteri, S. & Maël, L. (2022). The computational roots of positivity and confirmation biases in reinforcement-learning. Trends in Cognitive Sciences, 26(7), 607-621. doi:10.1016/j.tics.2022.04.005