Publications

Dehaene, S., Changeux, J., Naccache, L., Sackur, J. & Sergent, C. (2006). Conscious, preconscious, and subliminal processing: a testable taxonomy. Trends in cognitive sciences, 10(5), 204-11. doi:10.1016/j.tics.2006.03.007

Corallo, G., Sackur, J., Dehaene, S. & Sigman, M. (2008). Limits on introspection: distorted subjective time during the dual-task bottleneck. Psychological science, 19(11), 1110-7. doi:10.1111/j.1467-9280.2008.02211.x

Sackur, J., Naccache, L., Pradat-Diehl, P., Azouvi, P., Mazevet, D., Katz, R., Cohen, L. & Dehaene, S. (2008). Semantic processing of neglected numbers. Cortex; a journal devoted to the study of the nervous system and behavior, 44(6), 673-82. doi:10.1016/j.cortex.2007.02.003

Sigman, M., Sackur, J., Del Cul, A. & Dehaene, S. (2008). Illusory displacement due to object substitution near the consciousness threshold. Journal of vision, 8(1), 13.1-10. doi:10.1167/8.1.13

de Gardelle, V., Sackur, J. & Kouider, S. (2009). Perceptual illusions in brief visual presentations. Consciousness and cognition, 18(3), 569-77. doi:10.1016/j.concog.2009.03.002

Sackur, J. & Dehaene, S. (2009). The cognitive architecture for chaining of two mental operations. Cognition, 111(2), 187-211. doi:10.1016/j.cognition.2009.01.010

de Gardelle, V., Kouider, S. & Sackur, J. (2010). An oblique illusion modulated by visibility: non-monotonic sensory integration in orientation processing. Journal of vision, 10(10), 6. doi:10.1167/10.10.6

Marti, S., Sackur, J., Sigman, M. & Dehaene, S. (2010). Mapping introspection's blind spot: reconstruction of dual-task phenomenology using quantified introspection. Cognition, 115(2), 303-13. doi:10.1016/j.cognition.2010.01.003

Viarouge, A., Hubbard, E., Dehaene, S. & Sackur, J. (2010). Number line compression and the illusory perception of random numbers. Experimental psychology, 57(6), 446-54. doi:10.1027/1618-3169/a000055

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

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

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

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

Sackur, J. (2011). Dynamics of visual masking revealed by second-order metacontrast. Journal of vision, 11(4), 10. doi:10.1167/11.4.10

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

Zhang, D., Gao, M., Xu, D., Shi, W., Gutkin, B., Steffensen, S., Lukas, R. & Wu, J. (2012). Impact of prefrontal cortex in nicotine-induced excitation of ventral tegmental area dopamine neurons in anesthetized rats. Journal of Neuroscience, 32(36), 12366-12375. doi:10.1523/JNEUROSCI.5411-11.2012

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

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

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

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

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

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

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

Bastian, M. & Sackur, J. (2013). Mind wandering at the fingertips: automatic parsing of subjective states based on response time variability. Frontiers in psychology, 4, 573. doi:10.3389/fpsyg.2013.00573

Sackur, J. (2013). Two dimensions of visibility revealed by multidimensional scaling of metacontrast. Cognition, 126(2), 173-80. doi:10.1016/j.cognition.2012.09.013

Ruby, F., Smallwood, J., Sackur, J. & Singer, T. (2013). Is self-generated thought a means of social problem solving? Frontiers in psychology, 4, 962. doi:10.3389/fpsyg.2013.00962

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