Publications

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

Tieu, L., Pasternak , R., Schlenker, P. & Chemla, E. (2017). Co-speech gesture projection: Evidence from truth-value judgment and picture selection tasks. Glossa, 2, 102. doi:10.5334/gjgl.334

Dupoux, E. (2018). Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner. Cognition, 173, 43-59. doi:10.1016/j.cognition.2017.11.008

Bouvier, A. (2007). Collective Belief, Acceptance, and Commitment in Science . Iyyun, 56, 91

Hansen , N. & Chemla, E. (2017). Color Adjectives, Standards, and Thresholds: An Experimental Investigation. Linguistics \& Philosophy, 40, 239-278

Peperkamp, S. & Iturralde Zurita, A. (2019). Compensation for French liquid deletion during auditory sentence processing. In Proceedings of INTERSPEECH, Graz, Austria, ISCA, 1951-1955.

Carbajal, J., Chartofylaka, L., Hamilton, M., Fiévet, A. & Peperkamp, S. (2020). Compensation for Phonological Assimilation in Bilingual Children. Language Learning and Development, 16, 141-160. doi:10.1080/15475441.2020.1717955

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

Zuraw, K., Lin, I. , Yang, M. & Peperkamp, S. (2020). Competition between whole-word and decomposed representations of English prefixed words. Morphology . doi:10.1007/s11525-020-09354-6

Sun, Y., Giavazzi, M., Adda-Decker, M., Barbosa, L., Kouider, S., Bachoud-Levi, A., Jacquemot, C. & Peperkamp, S. (2015). Complex linguistic rules modulate early auditory brain responses. Brain and language, 149, 55-65. doi:10.1016/j.bandl.2015.06.009

Koechlin, E. (2021). Computational models of adaptive behavior and prefrontal cortex. Neuropsychopharmacology, 47, 58–71. doi:10.1038/s41386-021-01123-1

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Buccola, B. & Chemla, E. (2021). Conceptual alternatives. Linguist and Philos . doi:10.1007/s10988-021-09327-w

Buccola, B., Križ, M. & Chemla, E. (2022). Conceptual Alternatives: Competition in Language and Beyond. Linguistics and Philosophy, 45(2 ), 265–291. doi:10.1007/s10988-021-09327-w

Palminteri, S., Lefebvre, G., Kilford, E. & Blakemore, S. (2017). Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing. PLoS computational biology, 13(8), e1005684. doi:10.1371/journal.pcbi.1005684

Chierchia, G. , Soukupová, M., Kilford, E., Griffin, C. , Leung, J. , Palminteri, S. & Blakemore, S. (2022). Confirmatory reinforcement learning changes with age during adolescence. Developmental Science, .(e13330). doi:10.1111/desc.13330

Enguehard, É. & Chemla, E. (2021). Connectedness as a Constraint on Exhaustification . Linguistics and Philosophy, 44(1), 79–112. doi:10.1007/s10988-019-09286-3

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

Proust, J. (2018). Consensus as an epistemic norm for group acceptance. In J. A. Carter, A. Clark, J. Kallestrup, S.O. Palermos, and D. Pritchard (Eds.), Extended Epistemology Oxford : Oxford University Press.

Fort, M., Martin, A. & Peperkamp, S. (2015). Consonants are more important than vowels in the bouba-kiki effect. Language and speech, 58(Pt 2), 247-66. doi:10.1177/0023830914534951

Chemla, E., Dautriche, I., Buccola, B. & Fagot, J. (2019). Constraints on the lexicons of human languages have cognitive roots present in baboons ( Papio papio ) Proceedings of the National Academy of Sciences of the United States of America , 116(30), 14926-14930. doi:10.1073/pnas.1907023116

Palminteri, S. & Maël, L. (2021). Context-dependent outcome encoding in human reinforcement learning. Current Opinion in Behavioral Sciences, 41, 144-151. doi:10.1016/j.cobeha.2021.06.006

Vandendriessche, H., Demmou, A. , Bavard, S., Yadak, J. , Lemogne, C. , Mauras, T. & Palminteri, S. (2022). Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias? Psychological Medicine, ., 1-11. doi:10.1017/S0033291722001593

Lebreton, M., Bacily , K., Palminteri, S. & Engelmann, J. (2019). Contextual influence on confidence judgments in human reinforcement learning. PLoS Comput Biol, 15(4), e1006973. doi:10.1371/journal.pcbi.1006973

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

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

Peperkamp, S. & Dupoux, E. (2002). Coping with phonological variation in early lexical acquisition. In I. Lasser (Eds.), The Process of Language Acquisition (pp. 359-385). Frankfurt: Peter Lang

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Ngon, C. & Peperkamp, S. (2017). Corrigendum to "What infants know about the unsaid: Phonological categorization in the absence of auditory input" [Cognition 152 (2016) 53-60]. Cognition, 168, 385. doi:10.1016/j.cognition.2017.06.013