Publications

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

J. Bayne, T. & Pacherie, E. (2005). In Defence of the Doxastic Conception of Delusions. Mind and Language , 20(2), 163–88

Jeannerod , M. & Pacherie, E. (2004). Agency, Simulation and Self-Identification. Mind and Language, 19(2), 113–146

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

Keramati, M., Ahmed, S. & Gutkin, B. (2017). Misdeed of the need: towards computational accounts of transition to addiction. Current opinion in neurobiology, 46, 142-153. doi:10.1016/j.conb.2017.08.014

Khamassi, M., Girard, B., Clodic, A., Devin, S., Renaudo, E., Pacherie, E., Alami, R. & Chatila, R. (2016). Integration of Action, Joint Action and Learning in Robot Cognitive Architectures. Intellectica, 65, 65: 169-203

Kindler , A., Bourgeois-Gironde, S., Lefebvre, A. & Solomon , S. (2017). New leads in speculative behavior. Physica A: Statistical Mechanics and its Applications, 467, 365-379

Kneer, M. & Bourgeois-Gironde, S. (2017). Mens rea ascription, expertise and outcome effects: Professional judges surveyed. Cognition, 169, 139-146. doi:10.1016/j.cognition.2017.08.008

Konishi, M., Bruno, B., de Gardelle, V. & Sackur, J. (2021). Multitasking costs on metacognition in a triple-task paradigm. Psychonomic Bulletin & Review, . doi:10.3758/s13423-021-01967-0

Konishi, M., Clémence, C., Bruno, B., Sackur, J. & de Gardelle, V. (2020). Resilience of Perceptual Metacognition in a Dual-Task Paradigm. Psychonomic Bulletin & Review, 27(6), 1259-1268. doi:10.3758/s13423-020-01779-8

Kouider, S., Sackur, J. & de Gardelle, V. (2012). Do we still need phenomenal consciousness? Comment on Block. Trends in cognitive sciences, 16(3), 140-1; author reply 141-2. doi:10.1016/j.tics.2012.01.003

Kouider, S., de Gardelle, V., Sackur, J. & Dupoux, E. (2010 ). How rich is consciousness? The partial awareness hypothesis. Trends in Cognitive Sciences, 14(7), 301-307. doi:10.1016/j.tics.2010.04.006

Koukouli, F., Rooy, M., Tziotis, D., Sailor, K., O'Neill, H., Levenga, J., Witte, M., Nilges, M., Changeux, J., Hoeffer, C., Stitzel, J., Gutkin, B., Digregorio, D. & Maskos, U. (2017). Nicotine reverses hypofrontality in animal models of addiction and schizophrenia. Nature medicine, 23(3), 347-354. doi:10.1038/nm.4274

Krupa, M., Gutkin, B. & Zakharov, D. (2020). Modeling dopaminergic modulation of clustered gamma rhythms. Communications in Nonlinear Science and Numerical Simulation, 82(105086), 1-10. doi:10.1016/j.cnsns.2019.105086

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

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

Landry, M., Da Silva Castanheira , J., Sackur, J. & Raz, A. (2021). Investigating how the modularity of visuospatial attention shapes conscious perception using type I and type II signal detection theory. Journal of Experimental Psychology: Human Perception and Performance. doi:10.1037/xhp0000810

Lanore, F. , Cayco Gajic, A., Gurnani, H. , Coyle, D. & Angus Silver, R. (2021). Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience, 24, 1142-1150. doi:10.1038/s41593-021-00873-x

Laurène, V., Jean-Rémy, M., Sackur, J. & Axel, C. (2019). Comparing self- and hetero-metacognition in the absence of verbal communication. Plos One, 15(4), e0231530. doi:10.1371/journal.pone.0231530

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

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

Le Bars, S., Devaux, A., Nevidal, T., Chambon, V. & Pacherie, E. (2020). Agents' pivotality and reward fairness modulate sense of agency in cooperative joint action. Cognition, 195, 104117. doi:10.1016/j.cognition.2019.104117

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

Lefebvre, G., Lebreton, M., Meyniel, F., Bourgeois-Gironde, S. & Palminteri, S. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour , 1(4), 0067

Lopez-Persem, A., Rigoux, L., Bourgeois-Gironde, S., Daunizeau, J. & Pessiglione, M. (2017). Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks. PLoS computational biology, 13(11), e1005848. doi:10.1371/journal.pcbi.1005848