Publications

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

Zeldenrust, F., Gutkin, B. & Denève, S. (2021). Efficient and robust coding in heterogeneous recurrent networks. Plos Computational Biology, 17(4), e1008673. doi:10.1371/journal.pcbi.1008673

Weiss, A., Chambon, V., Drugowitsch, J. & Wyart, V. (2021). Interacting with volatile environments stabilizes hidden-state inference and its brain signatures. Nature Communications, 12, 2228. doi:10.1038/s41467-021-22396-6

Vinckier, F., Rigoux, L., Kurniawan, I., Bourgeois-Gironde, S., Daunizeau, J., Pessiglione, M., Chen, H. & Gershman, S. (2019). Sour grapes and sweet victories: How actions shape preferences. PLOS Computational Biology, 15(1). doi:10.1371/journal.pcbi.1006499

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

Van Den Stock, J., Tamietto, M., Sorger, B., Pichon, S., Grèzes, J. & De Gelder, B. (2011). Cortico-subcortical visual, somatosensory, and motor activations for perceiving dynamic whole-body emotional expressions with and without striate cortex (V1). Proceedings of the National Academy of Sciences of the United States of America, 108(39), 16188-93. doi:10.1073/pnas.1107214108

Van Den Stock, J., Peretz, I., Grèzes, J. & De Gelder, B. (2009). Instrumental music influences recognition of emotional body language. Brain topography, 21(3-4), 216-20. doi:10.1007/s10548-009-0099-0

Van De Riet, W., Grèzes, J. & De Gelder, B. (2009). Specific and common brain regions involved in the perception of faces and bodies and the representation of their emotional expressions. Social neuroscience, 4(2), 101-20. doi:10.1080/17470910701865367

Stefanini, F. , A. Kheirbek, M. , Kushnir, L., C. Jimenez, J. , H. Jennings, J. , D. Stuber, G. , Hen, R. & Fusi, S. (2018). A distributed neural code in the dentate gyrus and in CA1. . doi:10.1101/292953

Soussignan, R., Chadwick, M., Philip, L., Conty, L., Dezecache, G. & Grèzes, J. (2013). Self-relevance appraisal of gaze direction and dynamic facial expressions: Effects on facial electromyographic and autonomic reactions. Emotion, 13(2), 330-337. doi:10.1037/a0029892

Simeone, O. , Rajendran, B. , Gruning, A. , Eleftheriou, E. , Davies, M. , Denève, S. & Huang, G. (2019). Learning Algorithms and Signal Processing for Brain-Inspired Computing. IEEE Signal Processing Magazine, 36(6), 12-15. doi:10.1109/MSP.2019.2935557

Sidarus, N., Palminteri, S. & Chambon, V. (2019). Cost-benefit trade-offs in decision-making and learning. PLOS Computational Biology, 15(9), e1007326. doi:10.1371/journal.pcbi.1007326

Sidarus, N., Palminteri, S. & Chambon, V. (2018). Trading off the cost of conflict against expected rewards. Plos Computational Biology, 42809. doi:10.1371/journal.pcbi.1007326

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

Seow, T., Rouault, M. & Stephen, F. (2021). How local and global metacognition shape mental health. Biological Psychiatry. doi:10.1016/j.biopsych.2021.05.013

Sahai, A., Desantis, A., Grynszpan, O., Pacherie, E. & Berberian, B. (2019). Action co-representation and the sense of agency during a joint Simon task: comparing human and machine co-agents. Consciousness and Cognition, 67, 44-55. doi:10.1016/j.concog.2018.11.008

Sahai, A., Pacherie, E., Grynszpan, O. & Berberian, B. (2017). Predictive Mechanisms Are Not Involved the Same Way during Human-Human vs. Human-Machine Interactions: A Review. Frontiers in neurorobotics, 11, 52. doi:10.3389/fnbot.2017.00052

Safra, L., Sijilmassi, A. & Chevallier, C. (2021). Disease, perceived infectability and threat reactivity: A COVID-19 study. Personality and Individual Difference, 180, 110945. doi:10.1016/j.paid.2021.110945

Safra, L., Baumard, N., Wyart, V. & Chevallier, C. (2020). Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks. PLoS ONE, 15(4), e0230011. doi:10.1371/journal.pone.0230011

Safra, L., Chevallier, C., Grèzes, J. & Baumard, N. (2020). Tracking historical changes in trustworthiness using machine learning analyses of facial cues in painting. Nature Communications, 11, 4728. doi:10.1038/s41467-020-18566-7

Safra, L., Chevallier, C. & Palminteri, S. (2019). Depressive symptoms are associated with blunted reward learning in social contexts. PLOS Computational Biology, 15(7), e1007224. doi:10.1371/journal.pcbi.1007224

Safra, L., Palminteri, S. & Chevallier, C. (2019). Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology, 15(7), e1007224. doi:10.1101/378281

Safra, L., Algan, Y., Tecu, T., Grèzes, J., Baumard, N. & Chevallier, C. (2017). Childhood harshness predicts long-lasting leader preferences. Evolution and Human Behavior, 38(5), 645-651. doi:10.1016/j.evolhumbehav.2017.05.001

Rouault, M. & Stephen, F. (2020). Formation of global self-beliefs in the human brain. Proceedings of the National Academy of Sciences, 117(44), 27268-27276. doi:10.1073/pnas.2003094117

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2021). Predictive learning as a network mechanism for extracting low-dimensional latent space representations. Nature Communications, 12(1417). doi:10.1038/s41467-021-21696-1

Rahnev, D., Desender, K., Lee, A., Adler, W., Aguilar-Lleyda, D., Akdoğan, B., Arbuzova, P., Atlas, L., Balcı, F., Bang, J., Bègue, I., Birney, D., Brady, T., Calder-Travis, J., Chetverikov, A., Clark, T., Davranche, K., Denison, R., Dildine, T., Double, K., Duyan, Y., Faivre, N., Fallow, K., Filevich, E., Gajdos, T., Gallagher, R., de Gardelle, V., Gherman, S., Haddara, N., Hainguerlot, M., Hsu, T., Hu, X., Iturrate, I., Jaquiery, M., Kantner, J., Koculak, M., Konishi, M., Koß, C., Kvam, P., Kwok, S., Lebreton, M., Lempert, K., Ming Lo, C., Luo, L., Maniscalco, B., Martin, A., Massoni, S., Matthews, J., Mazancieux, A., Merfeld, D., O'Hora, D., Palser, E., Paulewicz, B., Pereira, M., Peters, C., Philiastides, M., Pfuhl, G., Prieto, F., Rausch, M., Recht, S. , Reyes, G., Rouault, M., Sackur, J., Sadeghi, S., Samaha, J., Seow, T., Shekhar, M., Sherman, M., Siedlecka, M., Skóra, Z., Song, C., Soto, D., Sun, S., Van Boxtel, J., Wang, S., Weidemann, C., Weindel, G., Wierzchoń, M., Xu, X., Ye, Q., Yeon, J., Zou, F. & Zylberberg, A. (2020). The Confidence Database. Nature Human Behaviour, 4, 317–325. doi:10.1038/s41562-019-0813-1

Quintiero, E. , Gastaldi , S., De Petrillo , F., Addessi , E. & Bourgeois-Gironde, S. (2021). Quantity–quality trade-off in the acquisition of token preference by capuchin monkeys (Sapajus spp.) Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1819). doi:10.1098/rstb.2019.0662