Publications

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

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.

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

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

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

Bouvier, A. (2002). Dans quelle mesure la théorie sociale de James Coleman est-elle trop parcimonieuse?

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

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.)

Zeldenrust, F., Gutkin, B. & Denève, S. (2021). Efficient and robust coding in heterogeneous recurrent networks. Plos Computational Biology, 17(4), e1008673. doi:10.1371/journal.pcbi.1008673

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

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

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

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).

Jardri, R., Duverne, S., Litvinova, A. & Denève, S. (2017). Experimental evidence for circular inference in schizophrenia. Nature communications, 8, 14218. doi:10.1038/ncomms14218

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

Leptourgos, P., Bouttier, V., Denève, S. & Jardri, R. (2022). From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosis. Neuroscience & Biobehavioral Reviews, 135, 104593. doi:10.1016/j.neubiorev.2022.104593

Derome, M., Kozuharova, P., O Diaconescu, A., Denève, S., Jardri, R. & Allen, P. (2023). Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage, 278, 120280. doi:10.1016/j.neuroimage.2023.120280

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

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

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