Publications

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Hernán, A., Joshua, H. & Sackur, J. (2021). Deployment dynamics of hypnotic anger modulation. Consciousness and Cognition, 91, 103118. doi:10.1016/j.concog.2021.103118

Safra, L., Chevallier, C. & Palminteri, S. (2019). Depressive symptoms are associated with blunted reward learning in social contexts. PLOS Computational Biology, 15(7), e1007224. doi:10.1371/journal.pcbi.1007224

Kim, S., Shahaeian, A. & Proust, J. (2018). Developmental diversity in mindreading and metacognition. In Proust, J. & Fortier, M (Eds.), Metacognitive Diversity (pp. 97-133).OUP

Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)

Wyart, V., Dehaene, S. & Tallon-Baudry, C. (2012). Early dissociation between neural signatures of endogenous spatial attention and perceptual awareness during visual masking. Frontiers in Human Neuroscience, 6, 16. doi:10.3389/fnhum.2012.00016

Anlló, H., Katsumi, W., Sackur, J. & de Gardelle, V. (2022). Effects of false statements on visual perception hinge on social suggestibility. J Exp Psychol Hum Percept Perform, 48(8), 889–900. doi:10.1037/xhp0001024

Wolpert, N., Rebollo, I. & Tallon-Baudry, C. (2020). Electrogastrography for psychophysiological research: Practical considerations, analysis pipeline, and normative data in a large sample. Psychophysiology, 57(9), e 13599. doi:10.1111/psyp.13599

Bouvier, A. (2004). En Quoi Et Pourquoi le Marxisme N'est Plus Une Croyance Orientant l'Action Collective. Actualité de la Politique Délibérative, de l'Économie Normative Et de l'Éthique Sociale. Revue Philosophique De Louvain, 102 (2), 311–332

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

Kovarski, K., Mennella, R., Wong, S., Dunkley, B., Taylor, M. & Batty, M. (2019). Enhanced Early Visual Responses During Implicit Emotional Faces Processing in Autism Spectrum Disorder. Journal of autism and developmental disorders, 49(3), 871-886. doi:10.1007/s10803-018-3787-3

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., De Wit, S., Robbins, T., Hartmann, A. & Worbe, Y. (2016). Enhanced habit formation in Gilles de la Tourette syndrome. Brain : a journal of neurology, 139(Pt 2), 605-15. doi:10.1093/brain/awv307

Marchand, S., Origgi, G. & Chouchan, N. (2021). Entretien avec G. Origgi : La post-vérité. Cahiers philosophiques, 164(1), 123-131. doi:10.3917/caph1.164.0125

Proust, J. (2014). Epistemic Action, Extended Knowledge, and Metacognition . Philosophical Issues, 24(1), 364–392

Paulus, M., Proust, J. & Sodian, B. (2013). Examining Implicit Metacognition in 3.5-Year-Old Children: An Eye-Tracking and Pupillometric Study. Frontiers in Psychology , 4, 145. doi:10.3389/fpsyg.2013.00145

Koechlin, E. (2020). Executive Control and Decision-Making: a neural theory of prefrontal function. The Cognitive Neurosciences VI (pp. 451).

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

Loussouarn, A., Gabriel, D. & Proust, J. (2011). Exploring the informational sources of metaperception: the case of Change Blindness Blindness. Consciousness and cognition, 20(4), 1489-1501. doi:10.1016/j.concog.2011.07.001

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Proust, J. (2019). From Comparative Studies to Interdisciplinary Research on Metacognition. Animal Behavior and Cognition, 6(4), 309-328. doi:10.26451/abc.06.04.10.2019

Tallon-Baudry, C. (2021). From global to local in conscious vison: behavior & MEG. Journal of vision, 21, 63. doi:10.1167/jov.21.9.63

Origgi, G. (2021). Ground Zero. The Triangle of Humiliation. In Yale Political Theory Seminar, Yale, United States.

Chiril, P. , Moriceau, V. , Benamara, F. , Origgi, G., Coulomb-Gully, M. & Mari, A. (2020). He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist. In 58th Annual Meeting of the Association for Computational Linguistics 2020, France, 4055-4066. doi:10.18653/v1/2020.acl-main.373

Udden, J. , Martins, M. , Zuidema, W. & Tecumseh Fitch, W. (2019). Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation. Topics in Cognitive Science . doi:10.1111/tops.12442

Bouvier, A. (1998). Histoire des Idées, Sociologie des Croyances Et Processus Argumentatifs Scepticisme Et Modernité D’Après Richard H. Popkin. Revue de Synthèse, 119(2-3), 307–322

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811

Sidarus, N., Haggard, P. & Beyer, F. (2018). How social contexts affect cognition: mentalizing interferes with sense of agency during voluntary action. PsyArXiv. doi:10.31234/osf.io/wj3ep

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

Origgi, G. (2018). https://www.openaire.eu.

Koechlin, E. (2020). Human Decision-Making beyond the Rational Decision Theory. Trends in Cognitive Sciences, 24(1), 4-6. doi:10.1016/j.tics.2019.11.001