Publications

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

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

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

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

Schlenker, P., Chemla, E., Arnold, K., Lemasson, A., Ouattara, K., Keenan, S., Stephan, C., Ryder, R. & Zuberbühler, K. (2013). Dialectal variation in the meanings of Campbell’s monkey alarm calls. In XIXth International Congress of Linguists (ICL19)-Workshop" Language variation at the interface of psycholinguistics and sociolinguistics".

Dudley, R., Rowe, M., Hacquard, V. & Lidz, J. (2018). Discovering the factivity of "know" , Vol. 27: In Proceedings of SALT 27, 600–619.

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).

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

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

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.)

Koralus, P. & Mascarenhas, S. (2018). Illusory Inferences in a question-based theory of reasoning. In Turner, Ken and Horn, Laurence (Eds.), Pragmatics, Truth, and Underspecification: Towards an Atlas of Meaning (pp. 300–322). Leiden: Brill

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

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

Alemi, A., Machens, C., Denève, S. & Slotine, J. (2018). Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules. In Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, AAAI Press.

Abrusan, M., Asher, N. & van de Cruys, T. (2018). Lexical vs. logical words: the view from Distributional Semantics. In Proceedings of Sinn und Bedeutung 22.

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

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Cremers, A. & Chemla, E. (2017). Probability Judgments of Gappy Sentences. In Pistoia-Reda, Salvatore and Filippo Domaneschi (Eds.), Linguistic and Psycholinguistic Approaches on Implicatures and Presuppositions (pp. 111-150).Palgrave

Ecoffet, P., Fontbonne, N., Andre, J. & Bredeche, N. (2021). Reinforcement Learning with Rare Significant Events: Direct Policy Search vs. Gradient Policy Search. In GECCO '21: Genetic and Evolutionary Computation Conference, New YorkNYUnited States: Association for Computing Machinery. doi:10.1145/3449726

Donati, C., Barberà, G., Branchini, C., Cecchetto, C., Geraci, C. & Quer, J. (2017). Searching for imperatives in European sign languages. In Daniël Van}, Olmen and Heinold, Simone (Eds.), Imperatives and Directive Strategies (pp. 111–155).John Benjamins Publishing Company. doi:10.1075/slcs.184.04don

Quer, J., Cecchetto, C., Donati, C., Geraci, C., Kelepir, M., Pfau, R. & Steinbach, M. (2017). SignGram Blueprint: A Guide to Sign Language Grammar Writing.

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

Zuberbühler, K., Chemla, E. & Schlenker, P. (2021). Stereotyped vocalizations. Encyclopedia of Evolutionary Psychological Science (pp. 7970-7974).Springer. doi:10.1007/978-3-319-16999-6_3330-1

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

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

Schlenker, P., Chemla, E., Arnold, K., Lemasson, A., Ouattara, K., Keenan, S., Stephan, C., Ryder, R. & Zuberbühler, K. (2013). Towards a formal analysis of primate alarm calls. In 23rd Semantics and Linguistics Theory Conference.

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

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