Publications

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

Soria Ruiz, A., Stojanovic, I. & Cepollaro, B. (2021). The Semantics and Pragmatics of Value Judgments. In Stalmaszczyk, Piotr (Eds.), The Cambridge Handbook of Philosophy of Language (pp. 434-449).Cambridge University Press

Stojanovic, I. (2021). Derogatory Terms in Free Indirect Discourse. In Maier, Emar & Stokke, Andreas (Eds.), The Language of Fiction (pp. 349-378).Oxford University Press

Kaiser, A. & Stojanovi, I. (2021). Exploring Valence in Judgments of Taste. In Wyatt, Jeremy, Zakkou, Julia & Zeman, Dan (Eds.), Perspectives on Taste (pp. 231-259).Routledge

Soria Ruiz, A., Maldonado, M. & Stojanovic, I. (2022). Good and Ought in Argumentation: COVID-19 as a Case Study. In Oswald, S., Lewiński, M., Greco, S., Villata, S. (Eds.), The Pandemic of Argumentation - Argumentation Library (pp. 43-64).Springer. doi:10.1007/978-3-030-91017-4_3

Recanati, F. (2021). Fictional reference as simulation. In Emar Maier, Andreas Stokke (Eds.), The language of fiction (pp. 17-36).Oxford University Press. doi:10.1093/oso/9780198846376.003.0002

Recanati, F. (2021). Mental Files. The Cambridge Handbook of the Philosophy of Language (Cambridge University Press ed., pp. 535-547). doi:10.1017/9781108698283.030

Recanati, F. (2021). Entertaining as Simulation. In Gabriele M. Mras, Michael Schmitz (Eds.), Force, Content and the Unity of the Proposition (pp. 266). New York: Routledge

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

Recanati, F. (2020). Multiple Grounding. In Springer (Eds.), Language and Reality from a Naturalistic Perspective. Philosophical Studies Series (Vol. 142). doi:10.1007/978-3-030-47641-0_5

Recanati, F. (2020). Penser avec le langage. Langue et Science, Langage et Pensée (pp. 147-164).Collège de France/Éditions Odile Jacob

Recanati, F. (2020). Coreference De Jure. In Rachel Goodman, James Genone, and Nick Kroll (Eds.), Singular Thought and Mental Files Oxford : Oxford University Press. doi:10.1093/oso/9780198746881.003.0008

Recanati, F. (2020). Reference and Singular Thought. The Routledge Handbook of Linguistic Reference (pp. 399-408).Routledge

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

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

Batty, M., Kovarski, K. & Meaux, E. (2018). De l’exploration à la perception des visages chez les personnes avec un trouble du spectre de l’autisme. Neuropsychologie et remédiations des troubles du spectre de l’autismeEditions deboeck Supérieur

Rooy, M., Koukouli, F., Maskos, U. & Gutkin, B. (2018). Nicotinic modulation of hierarchal inhibitory control over prefrontal cortex resting state dynamics: modeling of genetic modification and schizophreniarelated pathology. bioRxiv, 301051. doi:10.1101/301051

Deperrois, N. & Gutkin, B. (2018). Nicotinic and Cholinergic Modulation of Reward Prediction Error Computations in the Ventral Tegmental Area: a Minimal Circuit Model. bioRxiv, 423806. doi:10.1101/423806

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

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

Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609

Dumont, G. & Gutkin, B. (2018). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. arXiv , 1812.03455

Lazarevich, I. , Gutkin, B. & Prokin, I. (2018). Neural activity classification with machine learning models trained on interspike interval series data. arxiv , 1810.03855

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

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

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

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

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.)

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. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222