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Publications

Autres  

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772

Autres  

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

Autres  
Autres  

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

Autres  

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

Autres  

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2019). Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning. bioRxiv. doi:10.1101/593368

Autres  

Tallon-Baudry, C. (2013). Catherine Tallon-Baudry. Current Biology, 23(14), R588-R590. doi:10.1016/j.cub.2013.06.010

Chapitre d'ouvrage  

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.)

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

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

Chapitre d'ouvrage  

Gutkin, B. & Stiefel, K. (2007). Phase-resetting curves and neuromodulation of action potential dynamics in the cortex. (Vol. 40, pp. 14-15).

Ouvrage  

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

Acte de conférence non expertisé  

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

Acte de conférence non expertisé  

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

Acte de conférence expertisé  

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.

Acte de conférence expertisé  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2020). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. In Arai K., Kapoor S., Bhatia R. (Eds.), Vol. 1252: In IntelliSys 2020. Advances in Intelligent Systems and Computing, 241-255. doi:10.1007/978-3-030-55190-2_19

Article dans une revue internationale  

Ostojic, S., Panja, D. & Nienhuis, B. (2004). Clustering in a one-dimensional inelastic lattice gas. Physical Review E, 69(4 Pt 1), 041301. doi:10.1103/PhysRevE.69.041301

Article dans une revue internationale  

Ostojic, S. & Panja, D. (2006). Elasticity from the force network ensemble in granular media. Physical Review Letters, 97(20), 208001. doi:10.1103/PhysRevLett.97.208001

Article dans une revue internationale  

Ostojic, S., Somfai, E. & Nienhuis, B. (2006). Scale invariance and universality of force networks in static granular matter. Nature, 439(7078), 828-30. doi:10.1038/nature04549

Article dans une revue internationale  

Gutkin, B. & Ermentrout, G. (2006). Neuroscience: Spikes too kinky in the cortex? Nature, 440(7087), 999-1000. doi:10.1038/440999a

Article dans une revue internationale  

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Article dans une revue internationale  

Gruber, A., Dayan, P., Gutkin, B. & Solla, S. (2006). Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of Computational Neuroscience, 20(2), 153-166. doi:10.1007/s10827-005-5705-x

Article dans une revue internationale  

Ostojic, S., Vlugt, T. & Nienhuis, B. (2007). Universal anisotropy in force networks under shear. Physical Review E, 75(3 Pt 1), 030301. doi:10.1103/PhysRevE.75.030301