Publications

Recanati, F. (2020). Multiple Grounding. In Springer (Eds.), Language and Reality from a Naturalistic Perspective. Philosophical Studies Series (Vol. 142). doi:10.1007/978-3-030-47641-0_5

Recanati, F. (2020). Penser avec le langage. Langue et Science, Langage et Pensée (pp. 147-164).Collège de France/Éditions Odile Jacob

Recanati, F. (2020). Coreference De Jure. In Rachel Goodman, James Genone, and Nick Kroll (Eds.), Singular Thought and Mental Files Oxford : Oxford University Press. doi:10.1093/oso/9780198746881.003.0008

Recanati, F. (2020). Langage, discours, pensée. Collège de France

Recanati, F. (2020). Jules Vuillemin Et la Philosophie Analytique. Revue de Synthèse, 141(1-2), 11–33. doi:10.1163/19552343-14000025

Recanati, F. (2020). Reference and Singular Thought. The Routledge Handbook of Linguistic Reference (pp. 399-408).Routledge

Recanati, F. (2021). Transparent Coreference. Topoi, 40(1), 107–115. doi:10.1007/s11245-019-09674-1

Bernard, A., Bredeche, N. & Andre, J. (2020). Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters, 4(3), 257-265. doi:10.1002/evl3.155

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

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

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

Konishi, M., Clémence, C., Bruno, B., Sackur, J. & de Gardelle, V. (2020). Resilience of Perceptual Metacognition in a Dual-Task Paradigm. Psychonomic Bulletin & Review, 27(6), 1259-1268. doi:10.3758/s13423-020-01779-8

Berlemont, K., Martin, J., Sackur, J. & Nadal, J. (2020). Nonlinear neural network dynamics accounts for human confidence in a sequence of perceptual decisions. Scientific Reports, 10, 7940. doi:10.1038/s41598-020-63582-8

Vuillaume , L., Martin, J., Sackur, J. & Cleeremans, A. (2020). Comparing self- and hetero-metacognition in the absence of verbal communication. Plos One. doi:10.1371/journal.pone.0231530

Landry, M., Da Silva Castanheira , J., Sackur, J. & Raz, A. (2021). Investigating how the modularity of visuospatial attention shapes conscious perception using type I and type II signal detection theory. Journal of Experimental Psychology: Human Perception and Performance. doi:10.1037/xhp0000810

Battaglini, L., Mioni, G. , Casco, C., Contemori, G. & Konishi, M. (2020). Probing the effect of the expected-speed violation illusion. Psychological Research, . doi:https://doi.org/10.1007/s00426-020-01426-w

Reyes, G., Vivanco-Carlevari, A. , Medina, F. , Manosalva, C. , de Gardelle, V., Sackur, J. & Silva, J. (2020). Hydrocortisone decreases metacognitive efficiency independent of perceived stress. Scientific Reports, 10, 14100. doi:10.1038/s41598-020-71061-3