Publications

Dupoux, E., Kouider, S. & Mehler, J. (2003). Lexical access without attention? Explorations using dichotic priming. Journal of Experimental Psychology-human Perception and Performance, 29(1), 172-184. doi:10.1037/0096-1523.29.1.172

Faivre, N. & Kouider, S. (2014). Sustained invisibility through crowding and continuous flash suppression: a comparative review. Frontiers in psychology, 5, 475. doi:10.3389/fpsyg.2014.00475

Faivre, N., Charron, S., Roux, P., Lehericy, S. & Kouider, S. (2012). Nonconscious emotional processing involves distinct neural pathways for pictures and videos. Neuropsychologia, 50(14), 3736-44. doi:10.1016/j.neuropsychologia.2012.10.025

Faivre, N. & Kouider, S. (2012). Nonconscious influences from emotional faces: a comparison of visual crowding, masking, and continuous flash suppression. Frontiers in psychology, 3, 129. doi:10.3389/fpsyg.2012.00129

Faivre, N. & Kouider, S. (). Multi-feature objects elicit nonconscious priming despite crowding. Journal of vision. doi:10.1167/11.3.2

Faivre, N. & Kouider, S. (). Increased sensory evidence reverses nonconscious priming during crowding. Journal of vision. doi:10.1167/11.13.16

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Gelskov, S. & Kouider, S. (2010). Psychophysical thresholds of face visibility during infancy. Cognition, 114(2), 285-92. doi:10.1016/j.cognition.2009.09.012

Goupil, L. & Kouider, S. (2019). Developing a Reflective Mind: From Core Metacognition to Explicit Self-Reflection. Current Directions in Psychological Science, 28(4). doi:10.1177/0963721419848672

Goupil, L. & Kouider, S. (2016). Behavioral and Neural Indices of Metacognitive Sensitivity in Preverbal Infants. Current biology : CB, 26(22), 3038-3045. doi:10.1016/j.cub.2016.09.004

Goupil, L., Romand-Monnier, M. & Kouider, S. (2016). Infants ask for help when they know they don't know. Proceedings of the National Academy of Sciences of the United States of America, 113(13), 3492-6. doi:10.1073/pnas.1515129113

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

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.)

Graupner, M. & Gutkin, B. (2009). Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms. Acta Pharmacologica Sinica, 30(6), 681-693. doi:10.1038/aps.2009.87

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

Gu, Z., Smith, K. , Loukatou, G., Completo Guerreiro, I., Dudek, S. , Gutkin, B., Jensen, P. & Yakel, J. (2020). Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice . Cell Reports, 31(10), 107740. doi:10.1016/j.celrep.2020.107740

Gutkin, B., Braun, P., Akila, M., Waltner, D. & Guhr, T. (2020). Exact local correlations in kicked chains. Phys. Rev. B, 102, 174307. doi:10.1103/PhysRevB.102.174307

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

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

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

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

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Random perturbations of spiking activity in a pair of coupled neurons. Theory in Biosciences, 127(2), 135-139. doi:10.1007/s12064-008-0039-7

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

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

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