Publications

Tallon-Baudry, C., Florence, C., Hyeong-Dong, P. & Babo-Rebelo, M. (2018). The neural monitoring of visceral inputs, rather than attention, accounts for first-person perspective in conscious vision. Cortex, . doi:10.1016/j.cortex.2017.05.019

Beyer, F., Sidarus, N., Fleming, S. & Haggard, P. (2018). Losing Control in Social Situations: How the Presence of Others Affects Neural Processes Related to Sense of Agency. eNeuro, 5(1), ENEURO.0336-17.2018. doi:10.1523/ENEURO.0336-17.2018

Radke, S., Seidel, E., Boubela, R. , Thaler, H., Metzler, H., Kryspin-Exner, I., Moser, E., Habel, U. & Derntl, B. (2018). Immediate and delayed neuroendocrine responses to social exclusion in males and females. Psychoneuroendocrinology, 93, 56*64. doi:10.1016/j.psyneuen.2018.04.005

Chadwick, M., Metzler, H., Tijus, C., Armony, J. & Grèzes, J. (2018). Stimulus and observer characteristics jointly determine the relevance of threatening facial expressions and their interaction with attention. Motivation and Emotion, Advance online publication, 1–14. doi:https://doi.org/10.1007/s11031-018-9730-2

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

Bavard, S., Lebreton, M., Khamassi, M., Coricelli, G. & Palminteri, S. (2018). Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications, 9(4503)

Mastrogiuseppe, F. & Ostojic, S. (2018). Linking connectivity, dynamics and computations in recurrent neural networks. Neuron, 99(3), 609-623. doi:DOI:https://doi.org/10.1016/j.neuron.2018.07.003

Jacquet, P., Wyart, V., Desantis, A., Hsu , Y. , Granjon, L. , Sergent, C. & Waszak, F. (2018). Human susceptibility to social influence and its neural correlates are related to perceived vulnerability to extrinsic morbidity risks. Scientific Reports, 8, 13347. doi:10.1038/s41598-018-31619-8

Martí, D., Brunel, N. & Ostojic, S. (2018). Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks. Physical Review E, 97, 062314. doi:https://doi.org/10.1103/PhysRevE.97.062314

El Zein, M., Wyart, V. & Grèzes, J. (2018). Pervasive influence of idiosyncratic associative biases during facial emotion recognition. Scientific Reports, 8(1), 8804. doi:10.1038/s41598-018-27102-z

Bagur, S. , Averseng, M., Elgueda, D., David, S., Fritz, J., Yin, P., Shamma, S., Boubenec, Y. & Ostojic, S. (2018). Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex. Nature Communications, 9, 2529 . doi:10.1038/s41467-018-04839-9

Rebollo, I., Devauchelle, A., D., Béranger, B. & Tallon-Baudry, C. (2018). Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans. eLife, 7, e33321. doi:10.7554/eLife.33321

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

Germain, L., Maël, L. & Florent, M. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour, 1, 0067. doi:10.1038/s41562-017-0067

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

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

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

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

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

Mennella, R., Sarlo, M., Messerotti Benvenuti, S., Buodo, G., Mento, G. & Palomba, D. (2017). The two faces of avoidance: Time-frequency correlates of motivational disposition in blood phobia. Psychophysiology, 54(11), 1606-1620. doi:10.1111/psyp.12904

Ioannou, C., Zein, M., Wyart, V., Scheid, I., Amsellem, F., Delorme, R., Chevallier, C. & Grèzes, J. (2017). Shared mechanism for emotion processing in adolescents with and without autism. Scientific reports, 7, 42696. doi:10.1038/srep42696

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

Gamond, L., Vilarem, E., Safra, L., Conty, L. & Grèzes, J. (2017). Minimal group membership biases early neural processing of emotional expressions. The European journal of neuroscience, 46(10), 2584-2595. doi:10.1111/ejn.13735

Mastrogiuseppe, F. & Ostojic, S. (2017). Intrinsically-generated fluctuating activity in excitatory-inhibitory networks. PLoS computational biology, 13(4), e1005498. doi:10.1371/journal.pcbi.1005498

Beyer, F., Sidarus, N., Bonicalzi, S. & Haggard, P. (2017). Beyond self-serving bias: diffusion of responsibility reduces sense of agency and outcome monitoring. Social cognitive and affective neuroscience, 12(1), 138-145. doi:10.1093/scan/nsw160

Sidarus, N., Vuorre, M. & Haggard, P. (2017). How action selection influences the sense of agency: An ERP study. NeuroImage, 150, 1-13. doi:10.1016/j.neuroimage.2017.02.015

Sidarus, N., Vuorre, M., Metcalfe, J. & Haggard, P. (2017). Investigating the Prospective Sense of Agency: Effects of Processing Fluency, Stimulus Ambiguity, and Response Conflict. Frontiers in psychology, 8, 545. doi:10.3389/fpsyg.2017.00545

Sidarus, N., Vuorre, M. & Haggard, P. (2017). Integrating prospective and retrospective cues to the sense of agency: a multi-study investigation. Neuroscience of Consciousness, 2017(1). doi:10.1093/nc/nix012