Publications

Dubourg, E. & Baumard, N. (2023). Do Fictions Impact People's Beliefs? A Critical View. The Routledge Handbook of Fiction and Belief (Routledge ed., pp. 18).

Radushev, D. , Dogonasheva, O., Gutkin, B. & Zakharov, D. (2023). Chimera states in a ring of non-locally connected interneurons. In 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad, Russian Federation, 229-232. doi:10.1109/DCNA59899.2023.10290318

Poli, M. , Dupoux, E. & Riad, R. (2023). Introducing Topography in Convolutional Neural Networks. In CASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 1-5. doi:10.1109/ICASSP49357.2023.10096671

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2021). Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel. In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 211-214. doi:10.1109/DCNA53427.2021.9586968

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Calculation of travelling chimera speeds for dynamical systems with ring topologies. In 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 61-64. doi:10.1109/DCNA53427.2021.9586903

Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Bachoud-Levi, A. & Dupoux, E. (2022). A comparison study on patient-psychologist voice diarization. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), Dublin, Ireland: Association for Computational Linguistics, 30-36. doi:10.18653/v1/2022.slpat-1.4

Mercier, H. & Sperber, D. (2021). L'Énigme de la raison.

Langlais, P. , Camps, J. , Baumard, N. & Morin, O. (2022). From Roland to Conan: First results on the corpus of French literary fictions (1050-1920) In Digital Humanities 2022 (DH2022), Tokyo, Japan.

Bachoud-Levi, A. (2017). From open to large-scale randomized cell transplantation trials in Huntington's disease: Lessons from the multicentric intracerebral grafting in Huntington's disease trial (MIG-HD) and previous pilot studies. Prog Brain Res. (Vol. 230, pp. 227-261). doi:10.1016/bs.pbr.2016.12.011

Baumard, N. & Cova, F. (2018). De la coopération à la culture. In Andler, Collins, Tallon-Baudry (Eds.), La cognition. Du neurone à la société (pp. 563-597). Paris: Gallimard

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

Chevallier, C. (2019). Theory of mind and autism: Revisiting Baron-Cohen et al.’s Sally-Anne study. In A. Slater and P. Quinn (Eds.), Developmental Psychology: Revisiting the Classic Studies 2nd edition (pp. 148-163).Sage

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Ecoffet, P., Andre, J. & Bredeche, N. (2020). Learning to Cooperate in a Socially Optimal Way in Swarm Robotics. In ALIFE 2020: The 2020 Conference on Artificial Life, 251-259. doi:10.1162/isal_a_00315

Fenelon, G. (2019). Hallucinations visuelles. In Hélène Amievia, Antoinette Prouteau, Olivier Martinaud (Eds.), Neuropsychologie en psychiatrie

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.)

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

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Gutkin, B. & Stiefel, K. (2014). Cholinergic Neuromodulation of Phase Response Curves. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Jacquemot, C. (2019). Coupling language and executive functions for premanifest and early Huntington’s Disease follow up. , Vol. 24: In Spraak- en Taalpathologie, 77-79.

Jacquemot, C. (2017). Le langage fait l’homme et l’homme fait le langage. Paris: Sciences Humaines Editions

Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Mercier, H. & Sperber, D. (2020). Bounded reason in a social world. In Ricardo Viale (Eds.), Routledge Handbook of Bounded Rationality

Mercier, H. (2019 in press). A paradox of information aggregation: We do it well but think about it poorly, and why this is a problem for institutions. In Ballantyne, N. & Dunning, D. (Eds.), Reason, Bias, and Inquiry: New Perspectives from the Crossroads of Epistemology and PsychologyOxford University Press

Mercier, H. (2020 ). Not Born Yesterday. Princeton University Press

Ramus, F., Peperkamp, S., Christophe, A., Jacquemot, C., Kouider, S. & Dupoux, E. (2010). A Psycholinguistic Perspective on the Acquisition of Phonology. In C. Fougeron (Eds.), Laboratory Phonology (Vol. 10 ).De Gruyter Mouton

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer