Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Sophie Deneve"'
Autor:
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, Eric Shea-Brown
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Neural networks trained using predictive models generate representations that recover the underlying low-dimensional latent structure in the data. Here, the authors demonstrate that a network trained on a spatial navigation task generates place-relat
Externí odkaz:
https://doaj.org/article/411ac526db244399bdd114924abfd060
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005582 (2017)
In order to respond reliably to specific features of their environment, sensory neurons need to integrate multiple incoming noisy signals. Crucially, they also need to compete for the interpretation of those signals with other neurons representing si
Externí odkaz:
https://doaj.org/article/2570fc9804f9491393ab7a7c0097aaba
Autor:
Salomé Leclercq, Sébastien Szaffarczyk, Pantelis Leptourgos, Pierre Yger, Alexandra Fakhri, Marielle Wathelet, Vincent Bouttier, Sophie Denève, Renaud Jardri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Sociopolitical crises causing uncertainty have accumulated in recent years, providing fertile ground for the emergence of conspiracy ideations. Computational models constitute valuable tools for understanding the mechanisms at play in the fo
Externí odkaz:
https://doaj.org/article/975339f0bc0341aab4d5aa308abc0079
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
The brain uses spikes in neural circuits to perform many dynamical computations. The computations are performed with properties such as spiking efficiency, i.e. minimal number of spikes, and robustness to noise. A major obstacle for learning computat
Autor:
Mélodie Derome, Petya Kozuharova, Andreea O. Diaconescu, Sophie Denève, Renaud Jardri, Paul Allen
Publikováno v:
NeuroImage, Vol 278, Iss , Pp 120280- (2023)
The circular inference (CI) computational model assumes a corruption of sensory data by prior information and vice versa, leading at the extremes to 'see what we expect' (through prior amplification) and/or to 'expect what we see' (through sensory am
Externí odkaz:
https://doaj.org/article/b9200403f4b1403c8a8f1cbf5f8c5d24
Publikováno v:
Journal of Physiology-Paris. 97:683-694
We investigate the ability of multi-dimensional attractor networks to perform reliable computations with noisy population codes. We show that such networks can perform computations as reliably as possible--meaning they can reach the Cramér-Rao bound
Autor:
Céline Amiez, Rafal Bogacz, Peter Bossaerts, Christian Büchel, Xavier Caldú, Giorgio Coricelli, Mathieu d'Acremont, Kimberlee D'Ardenne, Mauricio R. Delgado, Natalie L. Denburg, Sophie Deneve, Bradley B. Doll, Jean-Claude Dreher, P.C. Fletcher, Michael J. Frank, Manfred Gilli, Suzanne Haber, Hauke R. Heekeren, Andreas Heinz, Michael Hernandez, Jeffrey Hollerman, Shunsuke Kobayashi, Samuel M. McClure, G.K. Murray, Mathias Pessiglione, Michael Petrides, Donald Pfaff, Marios G. Philiastides, Anthony J. Porcelli, Imke Puls, Edmund T. Rolls, Aldo Rustichini, Justine Schober, Mihaela Stavarache, Philippe N. Tobler, Daniel Tranel, Léon Tremblay, Masataka Watanabe, Yulia Worbe, Juliana Yacubian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::334cdff7e7c364421d165de349caccb1
https://doi.org/10.1016/b978-0-12-374620-7.00026-1
https://doi.org/10.1016/b978-0-12-374620-7.00026-1
Publikováno v:
Cognitive Processing : international quarterly of cognitive science, Vol. 5, p. 159-166 (9 juillet 2004)
Spatial information processing takes place in different brain regions that receive converging inputs from several sensory modalities. Because of our own movements—for example, changes in eye position, head rotations, and so forth—unimodal sensory
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009006 (2021)
Autism spectrum disorders have been proposed to arise from impairments in the probabilistic integration of prior knowledge with sensory inputs. Circular inference is one such possible impairment, in which excitation-to-inhibition imbalances in the ce
Externí odkaz:
https://doaj.org/article/04eacead728345e8ad64a9730fe88531