Publications

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

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

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

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

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

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

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

Tieu, L., Pasternak , R., Schlenker, P. & Chemla, E. (2018). Co-speech gesture projection: Evidence from inferential judgments. Glossa: a journal of general linguistics , 3(1), 109. doi:10.5334/gjgl.580

Chambon, V., Farrer, C., Pacherie, E., Leboyer, M., Zalla, T. & Jacquet, P. (2017). Reduced Sensitivity to Social Priors During Action Prediction in Adults with Autism Spectrum Disorders. Cognition, 160, 17–26 . doi:10.1016/j.cognition.2016.12.005

Chambon, V., Domenech, P., Jacquet, P., Barbalat, G., Bouton, S., Pacherie, E., Koechlin, E. & Farrer, C. (2017). Neural coding of prior expectations in hierarchical intention inference. Scientific reports, 7(1), 1278. doi:10.1038/s41598-017-01414-y

Charnavel , I. & Chemla, E. (2017). More Hybrid Agreement: simultaneous agreement with two competing triggers. Snippets, 31, 7-8. doi:10.7358/snip-2017-031-char

Chemla, E. & Singh, R. (2017). Training and timing local scalar enrichments under global pragmatic pressures. Journal of Semantics, 34(1), 107-126. doi:10.1093/jos/ffw006

Cremers, A., Tieu, L. & Chemla, E. (2017). Children's exhaustive readings of embedded questions. Language Acquisition: A Journal of Developmental Linguistics, 24, 343-360. doi:10.1080/10489223.2016.1176173

Cremers, A. & Chemla, E. (2017). Experiments on the acceptability and possible readings of questions embedded under emotive-factives. Natural Language Semantics, 25, 223-261. doi:10.1007/s11050-017-9135-x

Cremers, A. & Chemla, E. (2017). Experiments on the Acceptability and Possible Readings of Questions Embedded Under Emotive-Factives . Natural Language Semantics, 25(3), 223–261. doi:10.1007/s11050-017-9135-x