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

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

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., Haggard, P. & Beyer, F. (2018). How social contexts affect cognition: mentalizing interferes with sense of agency during voluntary action. PsyArXiv. doi:10.31234/osf.io/wj3ep

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

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

Rouault, M., Drugowitsch, J. & Koechlin, E. (2019). Prefrontal mechanisms combining rewards and beliefs in human decision-making. Nature Communications, 10, 301. doi:10.1038/s41467-018-08121-w

Koechlin, E. (2018). Prefrontal function and cognitive control: from action to language. Current Opinion in Behavioral Sciences, 21, 106-111. doi:10.1016/j.cobeha.2018.03.008

Romagnoni, A. , Colonnese, M. , Touboul, J. & Gutkin, B. (2020). Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics. J. of Neurophysiology, 123(5), 1583-1599. doi:10.1152/jn.00402.2019

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

Pérez Navarro, E., Castro, V. , Heras-Escribano, M. & González de Prado , J. (2019). Not Expressivist Enough: Normative Disagreement about belief attribution. Res Philosophica, 96 (4), 1-22. doi:10.11612/resphil.1794

Palminteri, S., Wyart, V. & Koechlin, E. (2017). The Importance of Falsification in Computational Cognitive Modeling. Trends in Cognitive Sciences, 21(6), 425-433. doi:10.1016/j.tics.2017.03.011

Pacherie, E. & Mylopoulos, M. (2020). Beyond Automaticity: The Psychological Complexity of Skill. Topoi, 40, 649-662. doi:10.1007/s11245-020-09715-0

Pacherie, E. (2001). Agency Lost and Found: A Commentary on Spence. Philosophy, Psychiatry, and Psychology, 8(2), 173–176

Pacherie, E. (2002). Intention .

Pacherie, E. (2002). Reply to John Campbell on Joint attention and simulation.

Pacherie, E. (2006). Towards a Dynamic Theory of Intentions . (pp. 145-167).