Publications

Yesilaltay , S., Hacquin, A. & Mercier, H. (2020). Why do so few people share fake news? It hurts their reputation. New Media & Society, . doi:10.1177/1461444820969893

Yesilaltay , S., Majima, Y. & Mercier, H. (2020 ). It's my idea! Reputation management and idea appropriation. Evolution and Human Behavior, 41(3), 235-243. doi:10.1016/j.evolhumbehav.2020.03.004

Yesilaltay , S., Claidière, N. & Mercier, H. (2020). It Happened to a Friend of a Friend: Inaccurate Source Reporting In Rumor Diffusion. Evolutionary Human Sciences, 2, E49. doi:10.1017/ehs.2020.53

Yesilaltay , S. & Mercier, H. (2020). Framing messages for vaccination supporters. Journal of Experimental Psychology Applied, 26(4). doi:10.1037/xap0000271

Yesilaltay , S. & Mercier, H. (2020). Relevance Is Socially Rewarded, But Not at the Price of Accuracy. Evolutionary Psychology, 18(1), 1–7. doi:10.1177/1474704920912640

Wexler, M., Duyck, M. & Mamassian, P. (2015). Persistent states in vision break universality and time invariance. Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14990-14995. doi:10.1073/pnas.1508847112

Weiss, A., Chambon, V., Drugowitsch, J. & Wyart, V. (2021). Interacting with volatile environments stabilizes hidden-state inference and its brain signatures. Nature Communications, 12, 2228. doi:10.1038/s41467-021-22396-6

Vinckier, F., Rigoux, L., Kurniawan, I., Bourgeois-Gironde, S., Daunizeau, J., Pessiglione, M., Chen, H. & Gershman, S. (2019). Sour grapes and sweet victories: How actions shape preferences. PLOS Computational Biology, 15(1). doi:10.1371/journal.pcbi.1006499

Van Der Groen, O., Van Der Burg, E., Lunghi, C. & Alais, D. (2013). Touch Influences Visual Perception with a Tight Orientation-Tuning. Plos One, 8(11). doi:10.1371/journal.pone.0079558

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2020). Measuring and Modeling Human Probabilistic Segmentation Maps. Journal of Vision, 20(11), 260. doi:10.1167/jov.20.11.260

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%)

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2019). An Ideal Observer Model for Grouping and Contour Integration in Natural Images. Vision, 48, 88-88

Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv

Trouche, E., Prado, J. , Léone, J. , Epinat-Duclos, J. & Mercier, H. (2020). The neural bases of argumentative reasoning. Brain and Language, 208, 104827. doi:10.1016/j.bandl.2020.104827

Toscani, M. , Mamassian, P. & Valsecchi, M. (2021). Underconfidence in peripheral vision. Journal of Vision, 21(2). doi:10.1167/jov.21.6.2

Toscani, M. , Gegenfurtner, K. , Mamassian, P. & Valsecchi, M. (2019). Under-confidence in peripheral vision. Journal of Vision, 19(10), 67c. doi:10.1167/19.10.67c

Strickland, B. & De Cruz , H. (2021). Replicability in Cognitive Science. Review of Philosophy and Psychology, 12, 1-7. doi:10.1007/s13164-021-00531-y

Strickland, B. & Chemla, E. (2018). Cross-linguistic regularities and learner biases reflect "core" mechanics. PloS one, 13(1), e0184132. doi:10.1371/journal.pone.0184132

Strickland, B., Geraci, C., Chemla, E., Schlenker, P., Kelepir, M. & Pfau, R. (2015). Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases. Proceedings of the National Academy of Sciences of the United States of America, 112(19), 5968-73. doi:10.1073/pnas.1423080112

Sidarus, N., Palminteri, S. & Chambon, V. (2019). Cost-benefit trade-offs in decision-making and learning. PLOS Computational Biology, 15(9), e1007326. doi:10.1371/journal.pcbi.1007326

Sidarus, N., Palminteri, S. & Chambon, V. (2018). Trading off the cost of conflict against expected rewards. Plos Computational Biology, 42809. doi:10.1371/journal.pcbi.1007326

Sidarus, N., Vuorre, M. & Haggard, P. (2017). How action selection influences the sense of agency: An ERP study. NeuroImage, 150, 1-13. doi:10.1016/j.neuroimage.2017.02.015

Sidarus, N., Vuorre, M., Metcalfe, J. & Haggard, P. (2017). Investigating the Prospective Sense of Agency: Effects of Processing Fluency, Stimulus Ambiguity, and Response Conflict. Frontiers in psychology, 8, 545. doi:10.3389/fpsyg.2017.00545

Sidarus, N., Vuorre, M. & Haggard, P. (2017). Integrating prospective and retrospective cues to the sense of agency: a multi-study investigation. Neuroscience of Consciousness, 2017(1). doi:10.1093/nc/nix012

Seow, T., Rouault, M. & Stephen, F. (2021). How local and global metacognition shape mental health. Biological Psychiatry. doi:10.1016/j.biopsych.2021.05.013

Schweitzer, R. , Watson, T. , Balsdon, T. & Rolfs, M. (2018). From retinal to world-centered perception of intra-saccadic motion streaks: Evidence for high-fidelity eye position information during saccades. , 18(10), 1285

Schütz, A. & Mamassian, P. (2016). Early, local motion signals generate directional preferences in depth ordering of transparent motion. Journal of vision, 16(10), 24. doi:10.1167/16.10.24

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

Sahai, A., Desantis, A., Grynszpan, O., Pacherie, E. & Berberian, B. (2019). Action co-representation and the sense of agency during a joint Simon task: comparing human and machine co-agents. Consciousness and Cognition, 67, 44-55. doi:10.1016/j.concog.2018.11.008

Sahai, A., Pacherie, E., Grynszpan, O. & Berberian, B. (2017). Predictive Mechanisms Are Not Involved the Same Way during Human-Human vs. Human-Machine Interactions: A Review. Frontiers in neurorobotics, 11, 52. doi:10.3389/fnbot.2017.00052