Publications

Bouvier, A. (2020). La théorie des croyances collectives de Pareto. Essai de reconstruction et d’évaluation de la théorie des ‘dérivations’ et des ‘résidus’ du point de vue des recherches contemporaines. The Lab’s Quaterly, a.XXII(3), 85-108

Bouvier, A. (2020). L’Individualisme méthodologique au défi des critiques de la philosophie analytique récente. L'Année sociologique, 70, 45-67. doi:10.3917/anso.201.0045

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

Cristia, A., Lavechin, M., Scaff, C., Soderstrom, M., Rowland , C., Räsänen, O., Bunce , J. & Bergelson, E. (2020). A thorough evaluation of the Language Environment Analysis (LENA) system. Behavior Research Methods, 53, 467-486. doi:10.3758/s13428-020-01393-5

Cristia, A., Farabolini, G. , Scaff, C., Havron, N. & Stieglitz, J. (2020). Infant-directed input and literacy effects on phonological processing: Non-word repetition scores among the Tsimane. PLoS ONE . doi:10.1371/journal.pone.0237702

Cristia, A. (2020). Language input and outcome variation as a test of theory plausibility: The case of early phonological acquisition. Developmental Review. doi:10.31219/osf.io/8pnhr

Cristia, A., Bulgarelli, F. & Bergelson, E. (2020). Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review. , 1-13. doi:10.1044/2020_JSLHR-19-00017

Cychosz, M. , Romeo, R. , Soderstrom, M. , Scaff, C., Ganek, H. , Cristia, A., Casillas , M., de Barbaro, K. , Bang, J. & Weisleder, A. (2020). Longform recordings of everyday life: Ethics for best practices. Behavior Research Methods. doi:10.3758/s13428-020-01365-9

Havron, N. & Arnon, I. (2020). Starting Big: The Effect of Unit Size on Language Learning in Children and Adults. Journal of Child Language. doi:10.31234/osf.io/pj7tg

Havron, N., Bergmann, C. & Tsuji, S. (2020). Preregistration in infant research—A primer. Infancy. doi:10.1111/infa.12353

Kim, S., Sodian, B., Senju, A., Okuno , A., Ueno, M., Itakura, S. & Proust, J. (2020). Metacognition and mindreading in young children: a cross-cultural study. Consciousness and Cognition , 85, 103017. doi:10.1016/j.concog.2020.103017

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2020). Children’s Prior Experiences of their Successes and Failures Modulate Belief Alignment. European Journal of Developmental Psychology, 17(5). doi:10.1080/17405629.2020.1722634

Kim, S., Sodian, B. & Proust, J. (2020). 12- and 24-Month-Old Infants’ Search Behavior Under Informational Uncertainty . Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.00566

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

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

Najar, A., Sigaud, O. & Chetouani , M. (2020). Interactively shaping robot behaviour with unlabeled human instructions. Auton Agent Multi-Agent Syst, 34(35). doi:10.1007/s10458-020-09459-6

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The role of counterfactual information on outcome value coding in mPFC and cingulate cortex: from an absolute to an adaptive neural code. . The Journal of Neuroscience, 40 (16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Skvortsova , V., Palminteri, S., Buot, A., Karachi, C., Welter, M., Grabli, D. & Pessiglione, M. (2020). A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning. Current Biology, 31(5). doi:10.1016/j.cub.2020.11.042

The ManyBabies Consortium, .., Havron, N., Cristia, A. & Carbajal, J. (2020). Quantifying sources of variability in infancy research using the infant-directed speech preference. Advances in Methods and Practices in Psychological Science, .

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2020). Robust valence-induced biases on motor response and confidence in human reinforcement learning. Cognitive, Affective, & Behavioral Neuroscience, . doi:10.3758/s13415-020-00826-0

Tsuji, S., Cristia, A., Franck , M. & Bergmann, C. (2020). Addressing Publication Bias in Meta-Analysis: Empirical Findings From Community-Augmented Meta-Analyses of Infant Language Development. Zeitschrift für Psychologie, 228(1), 50-61. doi:10.1027/2151-2604/a000393

Tsuji, S., Jincho, N. , Mazuka, R. & Cristia, A. (2020). Communicative cues in the absence of a human interaction partner enhance 12-month-old infants’ word learning. Journal of Experimental Child Psychology, 191, 104740. doi:10.1016/j.jecp.2019.104740

Bouvier, A. (2019). Individualism versus Holism. SAGE Research Methods Foundations, . doi:10.4135/9781526421036803102

Casillas , M. & Cristia, A. (2019). A step-by-step guide to collecting and analyzing long-format speech environment (LFSE) recordings. Collabra: Psychology, 5(1), 24. doi:10.1525/collabra.209

Cristia, A., Dupoux, E., Gurven, M. & Stieglitz, J. (2019). Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study. Child development, 90(3), 759-773. doi:10.1111/cdev.12974

Cristia, A., Dupoux, E., Ratner, N. & Soderstrom, M. (2019). Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus. Open mind : discoveries in cognitive science, 3, 13-22. doi:10.1162/opmi_a_00022

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

Fontanesi , L., Palminteri, S. & Lebreton, M. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. Cognitive Affective Behavioral Neuroscience, 1-13. doi:10.3758/s13415-019-00723-1