Publications

Chung, V., Grèzes, J. & Pacherie, E. (2023). Collective Emotion: A Framework for Experimental Research. Emotion Review, 16(1), 28-45. doi:10.1177/17540739231214533

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

Csaba Farkas, B. , Jacquet, P. & Chambon, V. (2022). Do perceived control and time orientation mediate the effect of early life adversity on reproductive behaviour and health status? Insights from the European Value Study and the European Social Survey. Humanities and Social Sciences Communications, 9(52). doi:10.1057/s41599-022-01066-y

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

Pacherie, E., Le Bars, S., Bourgeois-Gironde, S., Wyart, V., Dilan Sari, I. & Chambon, V. (2022). Motor coordination and strategic cooperation in joint action. Psychological science, 33(5), 736-751. doi:10.1177/09567976211053275

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

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Chambon, V., Thero, H., Vidal, M., Vandendriessche, H., Haggard, P. & Palminteri, S. (2020). Information about action outcomes differentially affects learning from self-determined versus imposed choices. Nature Human Behaviour , 4, 1067-1079. doi:10.1038/s41562-020-0919-5

Le Bars, S., Devaux, A., Nevidal, T., Chambon, V. & Pacherie, E. (2020). Agents' pivotality and reward fairness modulate sense of agency in cooperative joint action. Cognition, 195, 104117. doi:10.1016/j.cognition.2019.104117

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Chemla, E., Buccola, B. & Dautriche, I. (2019). Connecting content and logical words. Journal of Semantics, ffz001. doi:10.1093/jos/ffz001

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

Dieuleveut, A., Chemla, E. & Spector, B. (2019 ). Distinctions between primary and secondary scalar implicatures. Journal of Memory and Language, 106, 150-171. doi:10.1016/j.jml.2019.02.008

Kuhn, J. (2019). Pluractionality and distributive numerals. Language and Linguistics Compass, 13(2), e12309. doi:10.1111/lnc3.12309

Maldonado, M., Chemla, E. & Spector, B. (2019). Revealing abstract semantic mechanisms through priming: The distributive/collective contrast. Cognition, 182, 171-176. doi:10.1016/j.cognition.2018.09.009

Maldonado, M., Chemla, E. & Dunbar, E. (2019). Manipulated decision tasks to decode behavioral measures: the case of mouse-tracking. Behavior Research Methods, TBA

Melnik, G. & Peperkamp, S. (2019). Perceptual deletion and asymmetric lexical access in second language learners. Journal of the Acoustical Society of America, 145, EL13-EL18. doi:10.1121/1.5085648

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

Buccola, B., Dautriche, I. & Chemla, E. (2018). Competition and symmetry in an artificial word learning task. Frontiers in Psychology, 9, 2176. doi:10.3389/fpsyg.2018.02176

Cattaneo, Z., Rinaldi, L., Geraci, C., Cecchetto, C. & Papagno, C. (2018). Spatial biases in deaf, blind, and deafblind individuals as revealed by a haptic line bisection task. Quarterly journal of experimental psychology, 1–9. doi:10.1177/1747021817741288

Denic, M., Chemla, E. & Tieu, L. (2018). Intervention effects in NPI licensing: a quantitative assessment of the scalar implicature explanation. Glossa: a journal of general linguistics, 3(1), 49. doi:10.5334/gjgl.388

Fox, D. & Spector, B. (2018). Economy and embedded exhaustification. Natural Language Semantics, 26(1), 1-50. doi:10.1007/s11050-017-9139-6

Giavazzi, M., Daland, R., Palminteri, S., Peperkamp, S., Brugières, P., Jacquemot, C., Schramm, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2018 ). The role of the striatum in linguistic selection: Evidence from Huntington’s disease and computational modeling. Cortex, 109, 189-204. doi:10.1016/j.cortex.2018.08.031

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

Schlenker, P. & Chemla, E. (2018). Gestural agreement. Natural Language & , 36(2), 587-625. doi:10.1007/s11049-017-9378-8

Schlenker, P. (2018). Visible Meaning: Sign language and the foundations of semantics. Theoretical Linguistics, 44(3-4), 123-208. doi:10.1515/tl-2018-0012

Schlenker, P. (2018). Iconic pragmatics. Natural Language and Linguistic Theory, 36(3), 877–936. doi:10.1007/s11049-017-9392-x

Schlenker, P. (2018). Gesture projection and cosuppositions. Linguistics and Philosophy, 41(3), 295–365. doi:10.1007/s10988-017-9225-8

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

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