Publications

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

Origgi, G. (2020). Trust and Reputation. In Judith Simon (Eds.), The Routledge Handbook of Trust and PhilosophyRoutledge

Origgi, G. (2019). Reputation in Moral Philosophy and Epistemology. In F. Giardini, R. Wittek (Eds.), he Oxford Handbook of Gossip and Reputation (pp. 69-81).Oxford University Press

Origgi, G. (2019). Trust and Reputation as Filtering Mechanisms of Knowledge. In P. Graham (Eds.), Routledge Handbook of Social Epistemology London: Routledge

Bouvier, A. (2018). Intentional, unintentional and sub-intentional aspects of social mechanisms and rationality. The example of commitments in political life. In Gérald Bronner, Francesco Di Iorio (Eds.), The Mystery of Rationality: Mind, Beliefs and the Social Sciences (pp. 17-35). Cham (CH): Springer Nature

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

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

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.

Proust, J. (2018). Metacognition. In T. Crane (Eds.), Rootledge Encyclopedia of Philosophy

Bouvier, A. (2017). Analyse critique de Ch. Plantin, 2016, Dictionnaire de l’argumentation. Une introduction aux études d’argumentation. L’Année sociologique (Vol. 67, pp. 1-5). Lyon: ENS Editions

Bouvier, A. (2017). Analyse critique de F.H. Van Eemeren, B. Garssen, E.C.W.Krabbe, A.F. Snoeck Henkemans, B. Verheij, J.H.M. Wagemans (eds), 2014, Handbook of Argumentation Theory. L’Année sociologique (Vol. 67, pp. 7-11). Dordrecht: Springer Verlag

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

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

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

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

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

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

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.)

Bouvier, A. (2011). Individualism, Collective Agency and The “Micro–Macro Relation”. In Ian Jarvie and Jesus Zamora (Eds.), Handbook of Philosophy of Social Science (pp. 199).Sage Publications

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

Le Coënt, A., Fribourg, L., Vacher, J. & Wisniewski, R. (2020). Probabilistic reachability and control synthesis for stochastic switched systems using the tamed Euler method. Nonlinear Analysis: Hybrid Systems, 36, 100860Elsevier. doi:10.1016/j.nahs.2020.100860

Vacher, J. , Davila, A., Kohn, A. & Coen-Cagli, R. (2020). Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%)

Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv

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

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

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

Neri, P. (2018). Classification images as descriptive statistics. "Journal of Mathematical Psychology", "82"("1), "26–37"

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

Origgi, G. (2018). South, Status and Knowledge: Epistemic Dominance and Forms of Epistemic Injustice.