Publications

Nicolas, D. (2002). La catégorisation des noms communs : massifs et comptables. Catégorisation et Langage (pp. 29-51).

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

Nicolas, D. (2005). Types of degrees and types of event structures. Event arguments: foundations and applications (pp. 277-300).

Nicolas, D. (2006). Massif / comptable. Sémanticlopédie: dictionnaire de sémantique

Nicolas, D. (2006). Compositionalité: questions philosophiques. Sémanticlopédie: dictionnaire de sémantique

Nicolas, D. (2006). Ambiguïté. Sémanticlopédie: dictionnaire de sémantique

De Brabanter, P., Nicolas, D., Stojanovic, I. & Villanueva Fernandez, N. (2007). Les usages déférentiels. In Bouvier, Alban and Conein, Bernard (Eds.), L'épistémologie sociale. Une théorie sociale de la connaissance (pp. 139-162).Editions de l'EHESS

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.)

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. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Asic, T. & Corblin, F. (2014). Telic definties and their prepositions. French and Serbian. In Aguilar-Guevara, Ana, Bert Le Bruyn and Joost Zwarts (Eds.), Weak Referentiality (pp. 183-212).Benjamins

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

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

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

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

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

Giannakidou, A. & Mari, A. (2017). La dimension épistémique du futur : le rôle des adverbes. In Baranzini and de Saussures (Eds.), Le Futur dans les langues RomanesPeter Lang Ag

Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins

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

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

Nicolas, D. (2018). The logic of mass expressions. In E. N. Zalta (Eds.), Stanford Encyclopedia of Philosophy Stanford: The Metaphysics Research Lab Center for the Study of Language and Information Stanford University

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

Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins

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