Publications

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2025). Cluster formation in modular pyramidal-interneuron gamma networks under spike-frequency adaptation. The European Physical Journal Special Topics , . doi:10.1140/epjs/s11734-025-01582-3

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

Csaba Farkas, B. , Baptista, A., Speranza, M., Wyart, V. & Jacquet, P. (2024). Specifying the timescale of early life unpredictability helps explain the development of internalising and externalising behaviours. Scientific reports, 14(1), 3563. doi:10.1038/s41598-024-54093-x

Balsdon, T., Wyart, V. & Mamassian, P. (2024). Metacognitive evaluation of postdecisional perceptual representations. Journal of vision, 24(4), 2. doi:10.1167/jov.24.4.2

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

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

Pellegrino, A., Stein, H. & Alex Cayco-Gajic, N. (2024). Dimensionality reduction beyond neural subspaces with slice tensor component analysis. Nature neuroscience, . doi:10.1038/s41593-024-01626-2

D Cazé, R., Tran-Van-Minh, A., Gutkin, B. & A Digregorio, D. (2024). Demonstration that sublinear dendrites enable linearly non-separable computations. Scientific reports, 14(1), 18226. doi:10.1038/s41598-024-65866-9

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

Engelmann, J. , Maël, L., Salem-Garcia, N. & van der Weele, J. (2024). Anticipatory Anxiety and Wishful Thinking. American Economic Review, 111(4), 926–60. doi:10.1257/aer.20191068

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

Duriez, A., Bergerot, C., J Cone, J., F Roitman, M. & Gutkin, B. (2023). Homeostatic Reinforcement Theory Accounts for Sodium Appetitive State- and Taste-Dependent Dopamine Responding. Nutrients, 15(4), 1015. doi:10.3390/nu15041015

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Lee, J. , Rouault, M. & Wyart, V. (2023). Adaptive tuning of human learning and choice variability to unexpected uncertainty. Science Advances, 9(13). doi:10.1126/sciadv.add0501

Abdel Sater, R., Mus, M., Wyart, V. & Chevallier, C. (2023). A zero-cost attention-based approach to promote cleaner streets: A Signal Detection Theory approach in Parisian streets. PloS one, 18(4), e0284272. doi:10.1371/journal.pone.0284272

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