Publications

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

Fernandez-Velasco, P., Perroy, B. & Casati, R. (2021). The collective disorientation of the COVID-19 crisis. Global Discourse: An interdisciplinary journal of current affairs, 11(3), 44&-462. doi:10.1332/204378921X16146158263164

Terrone, E. (2017). The Band of Theseus: Social Individuals and Mental Files. Philosophy of the Social Sciences , 47(4-5), 287–310. doi:10.1177/0048393117705298

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

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

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%)

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

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

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

Stojanovic, I. (2007). Talking about Taste: Disagreement, Implicit Arguments and Relative Truth. Linguistics and Philosophy, 30, 691-706. doi:10.1007/s10988-008-9030-5

Chemla, E. & Egré, P. (2019). Suszko's problem: mixed consequence and compositionality. Review of Symbolic Logic, 12(4), 736-767. doi:10.1017/S1755020318000503

Terrone, E. & Bandirali , L. (2017). Super Size Stories. Narrative Strategies in Contemporary TV Series. Cinergie, 11, 98-110

Verheyen, S., Dewil, S. & Egré, P. (2018). Subjectivity in Gradable Adjectives: The Case of Tall and Heavy. Mind and Language, 33(5), 460–479

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

Wexler, M., Mamassian, P. & Schütz, A. (2022). Structure of visual biases revealed by individual differences. Vision Research, 195, 108014. doi:10.1016/j.visres.2022.108014

Rebollo, I., Devauchelle, A., D., Béranger, B. & Tallon-Baudry, C. (2018). Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans. eLife, 7, e33321. doi:10.7554/eLife.33321

Rebollo, I., Anne-Dominique, D., Benoit, B. & Tallon-Baudry, C. (2017). Stomach-brain synchrony binds neural representations of the body in a novel, delayed-connectivity resting-state network. bioRxiv, 2. doi:10.1101/217604

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

Park, H., Correia, S., Ducorps, A. & Tallon-Baudry, C. (2014). Spontaneous fluctuations in neural responses to heartbeats predict visual detection. Nature Neuroscience, 17, 612–618. doi:10.1038/nn.3671

Gekas, N., Perrinet, L., Mamassian, P., Montagnini, A. & Masson, G. (2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, 18(10), 345

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022

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

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