Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Olivier, Faugeras"'
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 6, p e1007050 (2019)
We address the question of color-space interactions in the brain, by proposing a neural field model of color perception with spatial context for the visual area V1 of the cortex. Our framework reconciles two opposing perceptual phenomena, known as si
Externí odkaz:
https://doaj.org/article/da83574d2f284c9f84744bb028fbd18e
Autor:
Olivier Faugeras, James MacLaurin
Publikováno v:
Entropy, Vol 17, Iss 7, Pp 4701-4743 (2015)
We study the asymptotic law of a network of interacting neurons when the number of neurons becomes infinite. Given a completely connected network of neurons in which the synaptic weights are Gaussian correlated random variables, we describe the asymp
Externí odkaz:
https://doaj.org/article/e7d1cec045784b8ab9a382928e497c20
Autor:
Olivier Faugeras, James MacLaurin
Publikováno v:
Entropy, Vol 16, Iss 12, Pp 6722-6738 (2014)
We prove a large deviation principle for a stationary Gaussian process over Rb,indexed by Ζd (for some positive integers d and b), with positive definite spectral density, andprovide an expression of the corresponding rate function in terms of the m
Externí odkaz:
https://doaj.org/article/cc51b7ccbf0a4952973c54ad53f358db
Autor:
Olivier Faugeras, Quang-Tuan Luong
This book formalizes and analyzes the relations between multiple views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry.Over the
Autor:
Pascal Chossat, Olivier Faugeras
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 12, p e1000625 (2009)
We propose to use bifurcation theory and pattern formation as theoretical probes for various hypotheses about the neural organization of the brain. This allows us to make predictions about the kinds of patterns that should be observed in the activity
Externí odkaz:
https://doaj.org/article/c151eb0721ed40459a956d64166b873c
Publikováno v:
Journal of Computational Neuroscience
Journal of Computational Neuroscience, 2019, ⟨10.1007/s10827-019-00730-8⟩
Journal of Computational Neuroscience, Springer Verlag, 2019, ⟨10.1007/s10827-019-00730-8⟩
Journal of Computational Neuroscience, 2019, ⟨10.1007/s10827-019-00730-8⟩
Journal of Computational Neuroscience, Springer Verlag, 2019, ⟨10.1007/s10827-019-00730-8⟩
International audience; Cortical spreading depression (CSD) is a wave of transient intense neuronal firing leading to a long lasting depolarizing block of neuronal activity. It is a proposed pathological mechanism of migraine with aura. Some forms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5b1cb6c2fb3687f0552e87f0aaf5c6b
https://pubmed.ncbi.nlm.nih.gov/31620945
https://pubmed.ncbi.nlm.nih.gov/31620945
Autor:
James MacLaurin, Olivier Faugeras
Publikováno v:
Entropy, Vol 16, Iss 12, Pp 6705-6721 (2014)
Entropy
Entropy, MDPI, 2014, 16, pp.17. ⟨10.3390/e16126705⟩
Volume 16
Issue 12
Pages 6705-6721
Entropy, 2014, 16, pp.17. ⟨10.3390/e16126705⟩
Entropy
Entropy, MDPI, 2014, 16, pp.17. ⟨10.3390/e16126705⟩
Volume 16
Issue 12
Pages 6705-6721
Entropy, 2014, 16, pp.17. ⟨10.3390/e16126705⟩
In this paper we derive an integral (with respect to time) representation of the relative entropy (or Kullback–Leibler Divergence) R(μ||P), where μ and P are measures on C([0,T]
Rd). The underlying measure P is a weak solution to a martingal
Rd). The underlying measure P is a weak solution to a martingal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fcfdfa8917ff7562fb0118aca860400
http://www.mdpi.com/1099-4300/16/12/6705
http://www.mdpi.com/1099-4300/16/12/6705
Autor:
Paul C. Bressloff, Olivier Faugeras
Publikováno v:
Journal of Statistical Mechanics: Theory and Experiment
Journal of Statistical Mechanics: Theory and Experiment, IOP Publishing, 2017, 2017, pp.33206. ⟨10.1088/1742-5468/aa64f3⟩
Journal of Statistical Mechanics: Theory and Experiment, 2017, 2017, pp.33206. ⟨10.1088/1742-5468/aa64f3⟩
Journal of Statistical Mechanics: Theory and Experiment, IOP Publishing, 2017, 2017, pp.33206. ⟨10.1088/1742-5468/aa64f3⟩
Journal of Statistical Mechanics: Theory and Experiment, 2017, 2017, pp.33206. ⟨10.1088/1742-5468/aa64f3⟩
International audience; We present a new derivation of the classical action underlying a large deviation principle (LDP) for a stochastic hybrid system, which couples a piecewise deterministic dynamical system in R d with a time-homogeneous Markov ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d19560ae4c2feb48c5442a292785e3
https://hal.inria.fr/hal-01072077v3/file/LDPR2.pdf
https://hal.inria.fr/hal-01072077v3/file/LDPR2.pdf
The relative contribution of noise and adaptation to competition during tri-stable motion perception
Autor:
Andrew Isaac, Meso, James, Rankin, Olivier, Faugeras, Pierre, Kornprobst, Guillaume S, Masson
Publikováno v:
Journal of vision. 16(15)
Animals exploit antagonistic interactions for sensory processing and these can cause oscillations between competing states. Ambiguous sensory inputs yield such perceptual multistability. Despite numerous empirical studies using binocular rivalry or p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d3301f4894d4448edc28344b698ee9b8
https://pubmed.ncbi.nlm.nih.gov/27936270
https://pubmed.ncbi.nlm.nih.gov/27936270
Autor:
Thomas Deneux1,2 thomas.deneux@weizmann.ac.il, Olivier Faugeras3,4 olivier.faugeras@sophia.inria.fr
Publikováno v:
Neural Computation. Apr2010, Vol. 22 Issue 4, p906-948. 43p. 3 Diagrams, 4 Charts, 11 Graphs.