Publications

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

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

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

de Vignemont, F. (2019). Against phenomenal parsimony: a plea for bodily feelings. In Goldman, Alvin McLaughlin, McLaughlin (Eds.), Metaphysics and cognitive science Oxford: Oxford University Press

Chiril, P. , Moriceau, V. , Benamara, F. , Mari, A., Origgi, G. & Coulomb-Gully, M. (2020). An Annotated Corpus for Sexism Detection in French Tweets. In LREC 2020, Marseille, EuropeanLanguageResourcesAssociation (ELRA), 1397–1403.

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

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

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

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

de Vignemont, F. (2020). Bodily Feelings: Presence, Agency, and Ownership. In Uriah Kriegel (Eds.), The Oxford Handbook of the Philosophy of Consciousness Oxford: Oxford University Press. doi:10.1093/oxfordhb/9780198749677.013.4

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

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

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

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

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.

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

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

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.)

de Vignemont, F. (2021). Feeling the world as being here. In F. de Vignemont, A. Serino, H.Y. Wong, A. Farnè (Eds.), The world at our fingertips: A multidisciplinary investigation of peripersonal space, Oxford : Oxford University Press

Origgi, G. (2018). https://www.openaire.eu.

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

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

Bouvier, A. (2009). Joint Commitment, Coercion and Freedom in Science : Conceptual Analysis and Case Studies. , 143–61

de Vignemont, F. & Sackur, J. (2018). La conscience. In Collins, Thérèse, Tallon-Baudry, Catherine, Andler, Daniel (Eds.), La cognitionGallimard

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

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

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