Publications

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

Neri, P. (2018). The empirical characteristics of human pattern vision defy theoretically-driven expectations . PLoS Computational Biology , 14(12), e1006585. doi:10.1371/journal.pcbi.1006585

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Hosseinizaveh, N. & Mamassian, P. (2022). The effect of confidence on visual perceptual learning. Journal of Vision, 22(14). doi:10.1167/jov.22.14.3950

Kuhn, J. (2021). The dynamics of negative concord. Linguist and Philos. doi:10.1007/s10988-020-09318-3

Prosper, A., Pasqualetti, M., Concetta Morrone, M. & Lunghi, C. (2023). The duration effect of short-term monocular deprivation measured by binocular rivalry and binocular combination. Vision research, 211, 108278. doi:10.1016/j.visres.2023.108278

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Phil. Trans. R. Soc. B, 376, 20190665. doi:10.1098/rstb.2019.0665

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

Rahnev, D., Desender, K., Lee, A., Adler, W., Aguilar-Lleyda, D., Akdoğan, B., Arbuzova, P., Atlas, L., Balcı, F., Bang, J., Bègue, I., Birney, D., Brady, T., Calder-Travis, J., Chetverikov, A., Clark, T., Davranche, K., Denison, R., Dildine, T., Double, K., Duyan, Y., Faivre, N., Fallow, K., Filevich, E., Gajdos, T., Gallagher, R., de Gardelle, V., Gherman, S., Haddara, N., Hainguerlot, M., Hsu, T., Hu, X., Iturrate, I., Jaquiery, M., Kantner, J., Koculak, M., Konishi, M., Koß, C., Kvam, P., Kwok, S., Lebreton, M., Lempert, K., Ming Lo, C., Luo, L., Maniscalco, B., Martin, A., Massoni, S., Matthews, J., Mazancieux, A., Merfeld, D., O'Hora, D., Palser, E., Paulewicz, B., Pereira, M., Peters, C., Philiastides, M., Pfuhl, G., Prieto, F., Rausch, M., Recht, S. , Reyes, G., Rouault, M., Sackur, J., Sadeghi, S., Samaha, J., Seow, T., Shekhar, M., Sherman, M., Siedlecka, M., Skóra, Z., Song, C., Soto, D., Sun, S., Van Boxtel, J., Wang, S., Weidemann, C., Weindel, G., Wierzchoń, M., Xu, X., Ye, Q., Yeon, J., Zou, F. & Zylberberg, A. (2020). The Confidence Database. Nature Human Behaviour, 4, 317–325. doi:10.1038/s41562-019-0813-1

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

Palminteri, S., Kilford, E., Coricelli, G. & Blakemore, S. (2016). The Computational Development of Reinforcement Learning during Adolescence. PLoS Computational Biology, 12(6). doi:10.1371/journal.pcbi.1004953

Marie, A. , Yesilaltay , S. & Strickland, B. (2020). The cognitive foundations of misinformation on science - What we know and what scientists can do about it. EMBO Rep , 21(4), e50205. doi:10.15252/embr.202050205

Strickland, B., Aristodemo, V., Kuhn, J. & Geraci, C. (2017). The categorical role of structurally iconic signs. The Behavioral and brain sciences, 40, e72. doi:10.1017/S0140525X15003076

Bai, D., Falck, A. & Strickland, B. (2021). The adult visual system resists learning continuity violations. Journal of vision, 21, 2590. doi:10.1167/jov.21.9.2590

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

Schlenker, P., Coye, C. , Leroux, M. & Chemla, E. (2023). The ABC-D of animal linguistics: are syntax and compositionality for real? Biological reviews of the Cambridge Philosophical Society, 98(4), 1142-1159. doi:10.1111/brv.12944

Vacher, J. , Davila, A., Kohn, A. & Coen-Cagli, R. (2020). Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%)

Souza-Alves, J. , Mourthé, Í. , Hilário, R. , Bicca-Marques, J. , Regh, J. , Gestich, C. , Acero Murcia, A. , Adret, P. , Aquino, R. , Berthet, M. & (Et Al), . (2019). Terrestrial Behavior in Titi Monkeys (Callicebus, Cheracebus, and Plecturocebus): Potential Correlates, Patterns, and Differences between Genera. International Journal of Primatology, 40(4-5), 553-572. doi:10.1007/s10764-019-00105-x

Ponsot, E., Susini, P. & Oberfeld, D. (2016). Temporal weighting of loudness: Comparison between two different psychophysical tasks. The Journal of the Acoustical Society of America, 139(1), 406-17. doi:10.1121/1.4939959

Ponsot, E., Susini, P., Saint Pierre, G. & Meunier, S. (2013). Temporal loudness weights for sounds with increasing and decreasing intensity profiles. The Journal of the Acoustical Society of America, 134(4), EL321-6. doi:10.1121/1.4819184

Jovanovic, L. & Mamassian, P. (2020). Temporal context affects the perceived time of visual events. Psychonomic Bulletin & Review, 27, 56–61. doi:10.3758/s13423-019-01682-x

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

Schaffhauser, T., Boubenec, Y. & Mamassian, P. (2019). Temporal binding across senses facilitates change detection within senses. Journal of vision, 19(10), 19a-19a. doi:10.1167/19.10.19a

Recht, S. , Mamassian, P. & de Gardelle, V. (2019). Temporal attention causes systematic biases in visual confidence. Scientific Reports, 9(1), 11622. doi:10.1038/s41598-019-48063-x

Deneux, T., Kempf, A., Daret, A., Ponsot, E. & Bathellier, B. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature communications, 7, 12682. doi:10.1038/ncomms12682

Schlenker, P. (2013). Temporal and Modal Anaphora in Sign Language (ASL) Natural Language and Linguistic Theory, 31(1), 207-234. doi:10.1007/s11049-012-9181-5

Balsdon, T. & Clifford, C. (2018). Task Dependent Effects of Head Orientation on Perceived Gaze Direction. Frontiers in psychology, 9, 2491. doi:10.3389/fpsyg.2018.02491

Balsdon, T. & Clifford, C. (2018). Task Dependent Effects of Head Orientation on Perceived Gaze Direction. Frontiers in Psychology, 9, 2491. doi:10.3389/fpsyg.2018.02491

Strickland, B., Fisher, M., Keil, F. & Knobe, J. (2014). Syntax and intentionality: an automatic link between language and theory-of-mind. Cognition, 133(1), 249-61. doi:10.1016/j.cognition.2014.05.021

Schlenker, P. (2013). Supplements within a unidimensional semantics II: Epistemic status and projection. In S. Kan, C. Moore-Cantwell &R. Staubs (Eds.), Vol. 2: In Proceedings of the 40th Annual Meeting of the North East Linguistic Society, 167-182.