Publications

Chevallier, C., Noveck, I., Happé, F. & Wilson, D. (2011). What's in a voice? Prosody as a test case for the Theory of Mind account of autism. Neuropsychologia, 49(3), 507-17. doi:10.1016/j.neuropsychologia.2010.11.042

Chevallier, C., Wilson, D., Happé, F. & Noveck, I. (2010). Scalar inferences in Autism Spectrum Disorders. Journal of autism and developmental disorders, 40(9), 1104-17. doi:10.1007/s10803-010-0960-8

Chevallier, C., Noveck, I., Happé, F. & Wilson, D. (2009). From acoustics to grammar: Perceiving and interpreting grammatical prosody in adolescents with Asperger Syndrome. Research in Autism Spectrum Disorders, . doi:10.1016/j.rasd.2008.10.004

Chevallier, C., Noveck, I., Nazir, T., Bott, L., Lanzetti, V. & Sperber, D. (2008). Making disjunctions exclusive. Quarterly journal of experimental psychology (2006), 61(11), 1741-60. doi:10.1080/17470210701712960

Claidière, N., Jraissati, Y. & Chevallier, C. (2008). A Colour Sorting Task Reveals the Limits of the Universalist/Relativist Dichotomy. Journal of Culture and Cognition , 8, 211–233

Collins, T. & Jacquet, P. (2018). TMS over posterior parietal cortex disrupts trans-saccadic visual stability. Brain stimulation, 11(2), 390-399. doi:10.1016/j.brs.2017.11.019

Conty, L., Dezecache, G., Hugueville, L. & Grèzes, J. (2012). Early binding of gaze, gesture, and emotion: neural time course and correlates. The Journal of neuroscience : the official journal of the Society for Neuroscience, 32(13), 4531-4539. doi:10.1523/JNEUROSCI.5636-11.2012

Conty, L. & Grèzes, J. (2012). Look at me, I'll remember you: the perception of self-relevant social cues enhances memory and right hippocampal activity. Human brain mapping, 33(10), 2428-40. doi:10.1002/hbm.21366

Conty, L., Grèzes, J. & Sander, D. (2010). How Does Perceiving Eye Direction Modulate Emotion Recognition? Behavioral and Brain Sciences, 33(6), 443–444

Correa, C. , Noorman, S. , Jiang, J. , Palminteri, S., Cohen, M. , Lebreton, M. & van Gaal, S. (2018). How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. Journal of Neuroscience , 0457-18. doi:10.1523/JNEUROSCI.0457-18.2018

Courty, A., Maria, A., Lalanne, C., Ringuenet, D., Vindreau, C., Chevallier, C., Pouga, L., Pinabel, F., Philippe, A., Adrien, J., Barry, C. & Berthoz, S. (2013). Levels of autistic traits in anorexia nervosa: a comparative psychometric study. BMC psychiatry, 13, 222. doi:10.1186/1471-244X-13-222

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., De Wit, S., Robbins, T., Hartmann, A. & Worbe, Y. (2015). Enhanced habit formation in Gilles de la Tourette syndrome. Brain, 139(2), 605-615. doi:10.1093/brain/awv307

Deperrois, N. & Gutkin, B. (2018). Nicotinic and Cholinergic Modulation of Reward Prediction Error Computations in the Ventral Tegmental Area: a Minimal Circuit Model. bioRxiv, 423806. doi:10.1101/423806

Deperrois, N., Moiseeva, V. & Gutkin, B. (2019). Minimal Circuit Model of Reward Prediction Error Computations and Effects of Nicotinic Modulations. Frontiers in neural circuits, 12, 116. doi:10.3389/fncir.2018.00116

Dezecache, G., Jacob, P. & Grèzes, J. (2015). Emotional contagion: its scope and limits. Trends in cognitive sciences, 19(6), 297-9. doi:10.1016/j.tics.2015.03.011

Dezecache, G., Eskenazi, T. & Grèzes, J. (2016). Emotional Convergence: A Case of Contagion? In Sukhvinder D. Obhi & Emily S. Cross (Eds.), Shared Representations: Sensorimotor Foundations of Social Life (Cambridge University Press ed., pp. 417).

Dezecache, G., Grèzes, J. & Dahl, C. (2017). The nature and distribution of affiliative behaviour during exposure to mild threat. Royal Society open science, 4(8), 170265. doi:10.1098/rsos.170265

Dezecache, G., Conty, L. & Grèzes, J. (2013). Social affordances: is the mirror neuron system involved? The Behavioral and brain sciences, 36(4), 417-8. doi:10.1017/S0140525X12001872

Dezecache, G., Conty, L., Chadwick, M., Philip, L., Soussignan, R., Sperber, D. & Grèzes, J. (2013). Evidence for unintentional emotional contagion beyond dyads. PloS one, 8(6), e67371. doi:10.1371/journal.pone.0067371

Di Volo, M., Morozova, E., Lapish, C., Kuznetsov, A. & Gutkin, B. (2018). Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release. European Journal of Neuroscience, Special issue article. doi:10.1111/ejn.14147

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

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

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

Dipoppa, M., Szwed, M. & Gutkin, B. (2016). Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Advances in cognitive psychology, 12(4), 209-232. doi:10.5709/acp-0199-x

Domenech, P., Rheims, S. & Koechlin, E. (2020 ). Neural Mechanisms resolving Exploitation-Exploration dilemmas in the prefrontal cortex. Science, 369(6507), eabb0184. doi:10.1126/science.abb0184

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

Dubreuil, A. (2019). Short term memory properties of sensory neural architectures. Journal of Computational Neuroscience volume, 46, 321–332. doi:10.1007/s10827-019-00720-w

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Dumont, G. & Gutkin, B. (2018). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. arXiv , 1812.03455

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311