Publications

Beaurenaut, M., Dezecache, G. & Grèzes, J. (2021). Action co-representation under threat: A Social Simon study. Cognition, 215, 104829. doi:10.1016/j.cognition.2021.104829

Messerotti Benvenuti, S., Buodo, G., Mennella, R., Bò, E. & Daniela, P. (2019). Appetitive and aversive motivation in depression: The temporal dynamics of task-elicited asymmetries in alpha oscillations. Scientific Reports, 9(1). doi:10.1038/s41598-019-53639-8

Grèzes, J. & Dezecache, G. (2014). Bases cérébrales et cognitives de la communication émotionnelle. In M. Botbol (Eds.), L'empathie au carrefour des sciences et de la cliniqueJohn Libbey Eurotext

Buot, A., Azzalini, D., Chaumon, M. & Tallon-Baudry, C. (2021). Does stroke volume influence heartbeat evoked responses? Biological Psychology. doi:10.1016/j.biopsycho.2021.108165

Grèzes, J., Erblang, M. , Vilarem, E., Quiquempoix, M. , Van Beers, P. , Guillard, M. , Sauvet, F. , Mennella, R. & Rabat, A. (2021). Impact of total sleep deprivation and related mood changes on approach-avoidance decisions to threat-related facial displays. Sleep, zsab186. doi:10.1093/sleep/zsab186

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2020). Measuring and Modeling Human Probabilistic Segmentation Maps. Journal of Vision, 20(11), 260. doi:10.1167/jov.20.11.260

Jacquet, P., Safra, L., Wyart, V., Baumard, N. & Chevallier, C. (2019). The ecological roots of human susceptibility to social influence: a pre-registered study investigating the impact of early-life adversity. Royal Society Open Science, 6(1), 180454. doi:10.1098/rsos.180454

Balsdon, T. & Clifford, C. (2017). A bias-minimising measure of the influence of head orientation on perceived gaze direction. Scientific reports, 7, 41685. doi:10.1038/srep41685

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Lelièvre, P. & Neri, P. (2021). A deep-learning framework for human perception of abstract art composition. Journal of vision, 21(5), 9. doi:10.1167/jov.21.5.9

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

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

Grèzes, J., Wicker, B., Berthoz, S. & De Gelder, B. (2009). A failure to grasp the affective meaning of actions in autism spectrum disorder subjects. Neuropsychologia, 47(8-9). doi:10.1016/j.neuropsychologia.2009.02.021

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Hansmann-Roth, S. & Mamassian, P. (2017). A Glossy Simultaneous Contrast: Conjoint Measurements of Gloss and Lightness. i-Perception, 8(1), 2041669516687770. doi:10.1177/2041669516687770

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

Lunghi, C., Sframeli, A. , Lepri, A., Lepri, M., Lisi, D., Sale, A. & Morrone, M. (2018 ). A new counterintuitive training for adult amblyopia. Annals of Clinical and Translational Neurology. doi:10.1002/acn3.698

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022

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

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

Balsdon, T. & Mamassian, P. (2019). A Reverse Hierarchy for Perceptual Confidence? Perception, 48, 191-192

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Ponsot, E., Susini, P. & Meunier, S. (2015). A robust asymmetry in loudness between rising- and falling-intensity tones. Attention, perception & psychophysics, 77(3), 907-20. doi:10.3758/s13414-014-0824-y

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

Abdel Sater, R., Mus, M., Wyart, V. & Chevallier, C. (2023). A zero-cost attention-based approach to promote cleaner streets: A Signal Detection Theory approach in Parisian streets. PloS one, 18(4), e0284272. doi:10.1371/journal.pone.0284272

Balsdon, T. & Azzopardi, P. (2015). Absolute and relative blindsight. Consciousness and cognition, 32, 79-91. doi:10.1016/j.concog.2014.09.010

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

Vilarem, E., Armony, J. & Grèzes, J. (2019). Action opportunities modulate attention allocation under social threat. Emotion. doi:10.1037/emo0000598