Publications

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

Jardri, R., Duverne, S., Litvinova, A. & Denève, S. (2017). Experimental evidence for circular inference in schizophrenia. Nature communications, 8, 14218. doi:10.1038/ncomms14218

Koren, V. & Denève, S. (2017). Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS computational biology, 13(1), e1005355. doi:10.1371/journal.pcbi.1005355

Gutierrez, G. & Denève, S. (2018). Population adaptation in efficient balanced networks. eLife, 8, e46926. doi:10.7554/eLife.46926

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

Alemi, A., Machens, C., Denève, S. & Slotine, J. (2018). Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules. In Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, AAAI Press.

Leptourgos, P., Notredame, C., Jardri, R., Denève, S. & Eck, M. (2020). Circular inference in bistable perception. Journal of Vision, 20(12), 521195. doi:10.1167/jov.20.4.12

Jardri, R., Leptourgos, P., Bouttier, V. & Denève, S. (2020). Circular Inference and Hallucinations. Biological Psychiatry, 87(9), S41-S42. doi:10.1016/j.biopsych.2020.02.131

Brendel, W. , Bourdoukan, R., Vertechi, P. , Machens, C. & Denève, S. (2020). Learning to represent signals spike by spike. PLOS Computational Biology, 16(3), e1007692. doi:10.1371/journal.pcbi.1007692

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

Leptourgos, P., Bouttier, V., Jardri, R. & Denève, S. (2021). A functional theory of bistable perception based on dynamical circular inference. Plos Computational Biology, 16(12), e1008480. doi:10.1371/journal.pcbi.1008480

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

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

Martins, M. , Bianco, R. , Sammler, D. & Villringer, A. (2019). Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences. Human Brain Mapping , 40(4). doi:10.1002/hbm.24549

Udden, J. , Martins, M. , Zuidema, W. & Tecumseh Fitch, W. (2019). Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation. Topics in Cognitive Science . doi:10.1111/tops.12442

Martins, M. , Krause, C. , Neville, D. , Pino, D. , Villringer, A. & Obrig, H. (2019). Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions. Brain , 142(10), 3217-3229. doi:10.1093/brain/awz242

de Heering, A. & Kolinsky, R. (2019). Braille readers break mirror invariance for both visual Braille and Latin letters. Cognition, 189, 55-59. doi:10.1016/j.cognition.2019.03.012

Lochy, A., Rossion , B. & de Heering, A. (2019). The non-linear development of the right hemispheric specialization for human face perception. Neuropsychologia., 126, 10-19. doi:10.1016/j.neuropsychologia.2017.06.029.

Axel, C., Beauny , A., Keuninckx , L., Martin, J., Munoz-Moldes, S., Vuillaume , L. & de Heering, A. (2020). Learning to be conscious. TICS opinion paper., 24(2). doi:10.1016/j.tics.2019.11.011

Castro, V. (2019). Justification, Conversation and Folk Psychology. Theoria. An International Journal for Theory, History and Foundations of Science,, 34 (1), 73-88. doi:10.1387/theoria.18022

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

Castro, V. (2019). Inner Speech and Metacognition: a commitment-based approach. Logos & Episteme, X(3), 245-261. doi:10.5840/logos-episteme201910324

Castro, V. , Clodic, A., Alami, R. & Pacherie, E. (2019). Commitments in Human-Robot Interaction. In AI-HRI 2019 Proceedings. AAAI Fall Symposium Series.

Heras-Escribano, M. & Castro, V. (2020). Social Cognition: a Normative Approach. Acta Analytica volume, 35(75–100). doi:10.1007/s12136-019-00388-y

Castro, V. (2020). Regulation, Normativity and Folk Psychology. Topoi , 39, 57–67. doi:10.1007/s11245-017-9511-7

Holgado, M. & Castro, V. (2020). The Social Cover View: a Non-epistemic Approach to Mindreading. Philosophia, 48, 483–505. doi:10.1007/s11406-019-00096-2

Castro, V. & Manrique, M. (2020). Shaping your own mind: The self- mindshaping view on metacognition. Phenomenology and the Cognitive Science. doi:10.1007/s11097-020-09658-2

Castro, V. (2019). Inner Speech and Metacognition: a defense of the commitment-based approach. Logos and Episteme: An International Journal of Epistemology, 3, 245-261. doi:10.5840/logos-episteme201910324

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

Grynszpan, O. , Sahai, A., Hamidi, N. , Pacherie, E., Berberian, B. , Roche, L. & Saint-Bauzel, L. (2019). The sense of agency in human-human vs human-robot joint action. Consciousness and Cognition, 27, 102820. doi:10.1016/j.concog.2019.102820