Publications

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

Lopez-Persem, A., Rigoux, L., Bourgeois-Gironde, S., Daunizeau, J. & Pessiglione, M. (2017). Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks. PLoS computational biology, 13(11), e1005848. doi:10.1371/journal.pcbi.1005848

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

Lefebvre, G., Lebreton, M., Meyniel, F., Bourgeois-Gironde, S. & Palminteri, S. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour , 1(4), 0067

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

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

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

Kneer, M. & Bourgeois-Gironde, S. (2017). Mens rea ascription, expertise and outcome effects: Professional judges surveyed. Cognition, 169, 139-146. doi:10.1016/j.cognition.2017.08.008

Kindler , A., Bourgeois-Gironde, S., Lefebvre, A. & Solomon , S. (2017). New leads in speculative behavior. Physica A: Statistical Mechanics and its Applications, 467, 365-379

Khamassi, M., Girard, B., Clodic, A., Devin, S., Renaudo, E., Pacherie, E., Alami, R. & Chatila, R. (2016). Integration of Action, Joint Action and Learning in Robot Cognitive Architectures. Intellectica, 65, 65: 169-203

Jeannerod , M. & Pacherie, E. (2004). Agency, Simulation and Self-Identification. Mind and Language, 19(2), 113–146

J. Bayne, T. & Pacherie, E. (2005). In Defence of the Doxastic Conception of Delusions. Mind and Language , 20(2), 163–88

Holgado, M. & Castro, V. (2020). The Social Cover View: a Non-epistemic Approach to Mindreading. Philosophia, 48, 483–505. doi:10.1007/s11406-019-00096-2

Hertz, U., Palminteri, S., Brunetti, S., Olesen, C., Frith, C. & Bahrami, B. (2017). Neural computations underpinning the strategic management of influence in advice giving. Nature communications, 8(1), 2191. doi:10.1038/s41467-017-02314-5

Heras-Escribano, M. & Castro, V. (2020). Social Cognition: a Normative Approach. Acta Analytica volume, 35(75–100). doi:10.1007/s12136-019-00388-y

Hamonet, C., Frédy, D., Lefèvre, J., Bourgeois-Gironde, S. & Zeitoun, J. (2016). Brain injury unmasking Ehlers-Danlos syndromes after trauma: the fiber print. Orphanet Journal of Rare Diseases, 11, 45. doi:10.1186/s13023-016-0428-9

Grynszpan, O. , Sahai, A., Hamidi, N. , Pacherie, E., Berberian, B. , Roche, L. & Saint-Bauzel, L. (2019). The sense of agency in human-human vs human-robot joint action. Consciousness and Cognition, 27, 102820. doi:10.1016/j.concog.2019.102820

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

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical transactions of the royal society B, 376(1819). doi:10.1098/rstb.2019.0665

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

Fischer, A., Bourgeois-Gironde, S. & Ullsperger, M. (2017). Short-term reward experience biases inference despite dissociable neural correlates. Nature communications, 8(1), 1690. doi:10.1038/s41467-017-01703-0

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

Dokic, J. & Pacherie, E. (2007). Too much ado about beliefs. Phenomenology and the Cognitive Sciences, 6(1-2), 185-200. doi:10.1007/s11097-006-9036-9

Dewey, J., Pacherie, E. & Knoblich, G. (2014). The phenomenology of controlling a moving object with another person. Cognition, 132(3), 383-97. doi:10.1016/j.cognition.2014.05.002

De Petrillo , F., Caroli , M., Gori , E., Micucci , A., Gastaldi , S., Bourgeois-Gironde, S. & Addessi , E. (2019). Evolutionary origins of money categorization and exchange: an experimental investigation in tufted capuchin monkeys (Sapajus spp.) Animal Cognition, 22(2), 169-186. doi:10.1007/s10071-018-01233-2

Craver, C., Cova, F., Green, L., Myerson, J., Rosenbaum, R., Kwan, D. & Bourgeois-Gironde, S. (2014). An Allais paradox without mental time travel. Hippocampus, 24(11), 1375-80. doi:10.1002/hipo.22318

Cova, F., Bertoux, M., Bourgeois-Gironde, S. & Dubois, B. (2012). Judgments about moral responsibility and determinism in patients with behavioural variant of frontotemporal dementia: still compatibilists. Consciousness and cognition, 21(2), 851-64. doi:10.1016/j.concog.2012.02.004

Correa, C. , Noorman, S. , Jiang, J. , Palminteri, S., Cohen, M. , Lebreton, M. & van Gaal, S. (2018). How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. Journal of Neuroscience , 0457-18. doi:10.1523/JNEUROSCI.0457-18.2018

Cohen, A. , Bourgeois-Gironde, S. & Pollack, Y. (2020). The impact of intrinsic and extrinsic features on delay discounting. Memory & Cognition, 49, 380-388. doi:10.3758/s13421-020-01088-4

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, .