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

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

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

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

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

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

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

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

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

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

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

De Falco, E., Solca, M., Bernasconi, F., Babo-Rebelo, M., Young, N., Sammartino, F., Tallon-Baudry, C., Navarro , V., R Rezai, A., Krishna, V. & Blanke, O. (2024). Single neurons in the thalamus and subthalamic nucleus process cardiac and respiratory signals in humans. Proceedings of the National Academy of Sciences of the United States of America, 121(11), e2316365121. doi:10.1073/pnas.2316365121

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

Engelen, T., Schuhmann, T. , Sack, A. & Tallon-Baudry, C. (2024). Organ-Specificity In Viscera-Motor Coupling: The Phase Of The Heart, Lungs, And Stomach All Drive Motor Cortex Excitability, But Independently. Psychophysiology, 61, S120-S120. doi:10.1111/psyp.14692

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

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

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

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

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

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

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

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

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

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

Candia-Rivera, D. , Raimondo , F., Perez, P. , Naccache, L., Tallon-Baudry, C. & D Sitt, J. (2023). Conscious processing of global and local auditory irregularities causes differentiated heartbeat-evoked responses. eLife, 27(12), e75352. doi:10.7554/eLife.75352

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

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