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
Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).
Book chapter
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
Book chapter
Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins
Book chapter
Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins
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
Nicolas, D. (2006). Massif / comptable. Sémanticlopédie: dictionnaire de sémantique
Book chapter
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
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
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.)
Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).
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
Monograph
Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.