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Publications

Other  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Other  
Other  

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

Other  

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

Other  

Pasquinelli, E., Farina, M. , Bedel, A. & Casati, R. (2020). Définir et éduquer l'esprit critique.

Book chapter  

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.)

Book chapter  

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

Book chapter  

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

Book chapter  

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

Book chapter  

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

Book chapter  

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

Book chapter  

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

Book chapter  

de Vignemont, F. (2018). The first-person in pain. In Bain, D., Brady, M., Corns, J. (Eds.), Philosophy of Pain: Unpleasantness, Emotion, and DevianceRoutledge

Book chapter  

Casati, R. & Tonello, F. (2018). Voto elettronico e partecipazione democratica. Web e società democratica (pp. 3-15). Turin: Accademia University Press

Book chapter  

Casati, R. (2018). Shadows, objects and the lexicon: On some lexicalized and non-lexicalized concepts of shadow and light. In C. Mac Cumhaill, Thomas Crowther (Eds.), Perceptual Ephemera Oxford: OUP. doi:10.1080/13875868.2017.1377204

Book chapter  

Varzi, A. & Casati, R. (2020). Ballot Ontology. In Sara Bernstein & Tyron Goldschmidt (Eds.), Non-Being: New Essay on the Metaphysics of Non-ExistenceOxford University Press

Book chapter  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2020). 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

Book chapter  

Fernandez-Velasco, P. & Casati, R. (2020). Disorientation and GIS-Informed Wilderness Search and Rescue. The Philosophy of GIS Switzerland: Springer Nature. doi:10.1007/978-3-030-16829-2_11

Book chapter  

Arcangeli, M. & Dokic, J. (2020). A plea for the Sublime in science. In S. French & M. Ivanova (Eds.), The Aesthetics of Science: Beauty, Imagination and Understanding (Routledge ed., pp. 104-124). doi:10.4324/9780429030284-6

Book chapter  

Varzi, A. & Casati, R. (2021). Ballot Ontology. In Sara Bernstein & Tyron Goldschmidt (Eds.), Non-Being: New Essay on the Metaphysics of Non-Existence (pp. 139–164). Oxford: Oxford University Press.

Book chapter  

Fernandez-Velasco, P. & Casati, R. (2021). Making and Breaking Our Shared World: A Phenomenological Analysis of Disorientation as a Way ofUnderstanding Collective Emotions in Distributed Cognition. In Falcato A., Graça da Silva S. (Eds.), The Politics of Emotional Shockwaves (pp. 203-219).Palgrave Macmillan, Cham. doi:10.1007/978-3-030-56021-8_10

Book chapter  

Fortier, M. & Kim, S. (2017). From the impossible to the improbable: A probabilistic account of magical beliefs and practices across development and cultures. In C. Zedelius, B. Müller & J. Schooler (Eds.), The science of lay theories: How beliefs shape our cognition, behavior, and health (pp. 265-315). New York: Springer

Monograph  

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

Monograph  

Casati, R. & Cavanagh, P. (2019). The Visual World of Shadows. MIT Press

Non-reviewed conference proceeding  

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