Publications

Chanel, G., Pichon, S., Conty, L., Berthoz, S., Chevallier, C. & Grèzes, J. (2015). Classification of autistic individuals and controls using cross-task characterization of fMRI activity. NeuroImage. Clinical, 10, 78-88. doi:10.1016/j.nicl.2015.11.010

Molesworth, C., Chevallier, C., Happé, F. & Hampton, J. (2015). Children with autism do not show sequence effects with auditory stimuli. Journal of experimental psychology. General, 144(1), 48-57. doi:10.1037/a0038204

Chevallier, C., Xu, J., Adachi, K., Van Der Henst, J. & Baumard, N. (2015). Preschoolers' understanding of merit in two Asian societies. PloS one, 10(5), e0114717. doi:10.1371/journal.pone.0114717

Chevallier, C., Parish-Morris, J., Mcvey, A., Rump, K., Sasson, N., Herrington, J. & Schultz, R. (2015). Measuring social attention and motivation in autism spectrum disorder using eye-tracking: Stimulus type matters. Autism research : official journal of the International Society for Autism Research, 8(5), 620-8. doi:10.1002/aur.1479

Jacquet, P. & Avenanti, A. (2015). Perturbing the action observation network during perception and categorization of actions' goals and grips: state-dependency and virtual lesion TMS effects. Cerebral cortex (New York, N.Y. : 1991), 25(3), 598-608. doi:10.1093/cercor/bht242

El Zein, M., Gamond, L., Conty, L. & Grèzes, J. (2015). Selective attention effects on early integration of social signals: same timing, modulated neural sources. NeuroImage, 106, 182-8. doi:10.1016/j.neuroimage.2014.10.063

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

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

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Gutkin, B. & Stiefel, K. (2014). Cholinergic Neuromodulation of Phase Response Curves. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Grèzes, J. & Dezecache, G. (2014). How do shared-representations and emotional processes cooperate in response to social threat signals? Neuropsychologia, 55, 105-14. doi:10.1016/j.neuropsychologia.2013.09.019

Martin, J., Dezecache, G., Dokic, J. & Grèzes, J. (2014). Prioritization of emotional signals by the human auditory system: evidence from a perceptual hysteresis protocol. Evolution and Human Behavior, 35(6), 526-532. doi:doi.org/10.1016/j.evolhumbehav.2014.07.005

Calmels, C., Pichon, S. & Grèzes, J. (2014). Can we simulate an action that we temporarily cannot perform? Neurophysiologie Clinique/Clinical Neurophysiology, 44(5), 433-445. doi:10.1016/j.neucli.2014.08.004

Grèzes, J., Valabrègue, R., Gholipour, B. & Chevallier, C. (2014). A direct amygdala-motor pathway for emotional displays to influence action: A diffusion tensor imaging study. Human brain mapping, 35(12), 5974-83. doi:10.1002/hbm.22598

Ostojic, S. (2014). Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nature Neuroscience, 17(4), 594-600. doi:10.1038/nn.3658

Chambon, V., Sidarus, N. & Haggard, P. (2014). From action intentions to action effects: how does the sense of agency come about? Frontiers in human neuroscience, 8, 320. doi:10.3389/fnhum.2014.00320

Chevallier, C., Parish-Morris, J., Tonge, N., Le, L., Miller, J. & Schultz, R. (2014). Susceptibility to the audience effect explains performance gap between children with and without autism in a theory of mind task. Journal of experimental psychology. General, 143(3), 972-9. doi:10.1037/a0035483

Sheskin, M., Chevallier, C., Lambert, S. & Baumard, N. (2014). Life-history theory explains childhood moral development. Trends in cognitive sciences, 18(12), 613-5. doi:10.1016/j.tics.2014.08.004

Park, H. & Tallon-Baudry, C. (2014). The neural subjective frame: from bodily signals to perceptual consciousness. Philosophical Transactions Royal Society B, 369, 20130208. doi:10.1098/rstb.2013.0208

Park, H., Correia, S., Ducorps, A. & Tallon-Baudry, C. (2014). Spontaneous fluctuations in neural responses to heartbeats predict visual detection. Nature Neuroscience, 17, 612–618. doi:10.1038/nn.3671

Venture, G., Kadone, H., Zhang, T., Grèzes, J., Berthoz, A. & Hicheur, H. (2014). Recognizing Emotions Conveyed by Human Gait. International Journal of Social Robotics, 6(4), 621-632. doi:10.1007/s12369-014-0243-1

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)

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer