Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Bruno Cessac"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract A fundamental task for the brain is to generate predictions of future sensory inputs, and signal errors in these predictions. Many neurons have been shown to signal omitted stimuli during periodic stimulation, even in the retina. However, th
Externí odkaz:
https://doaj.org/article/1da4c53bb1ee4983b0b21af9f979a546
Publikováno v:
Open Biology, Vol 12, Iss 3 (2022)
Retinal neurons are remarkedly diverse based on structure, function and genetic identity. Classifying these cells is a challenging task, requiring multimodal methodology. Here, we introduce a novel approach for retinal ganglion cell (RGC) classificat
Externí odkaz:
https://doaj.org/article/e1eb406f1e434504a01a9ed537391680
Publikováno v:
Frontiers in Systems Neuroscience, Vol 14 (2020)
Functionally relevant network patterns form transiently in brain activity during rest, where a given subset of brain areas exhibits temporally synchronized BOLD signals. To adequately assess the biophysical mechanisms governing intrinsic brain activi
Externí odkaz:
https://doaj.org/article/747e5b88a1b7426e8b75858633ba802c
Autor:
Bruno Cessac
Publikováno v:
Journal of Imaging, Vol 8, Iss 1, p 14 (2022)
The retina is the entrance of the visual system. Although based on common biophysical principles, the dynamics of retinal neurons are quite different from their cortical counterparts, raising interesting problems for modellers. In this paper, I addre
Externí odkaz:
https://doaj.org/article/05a3b2782a3c46c2b0d2df4a33b80e3c
Publikováno v:
Entropy, Vol 23, Iss 2, p 155 (2021)
We establish a general linear response relation for spiking neuronal networks, based on chains with unbounded memory. This relation allow us to predict the influence of a weak amplitude time dependent external stimuli on spatio-temporal spike correla
Externí odkaz:
https://doaj.org/article/32c5f68c888d41548deb8f3935bb0599
Publikováno v:
Entropy, Vol 22, Iss 11, p 1330 (2020)
The Thermodynamic Formalism provides a rigorous mathematical framework for studying quantitative and qualitative aspects of dynamical systems. At its core, there is a variational principle that corresponds, in its simplest form, to the Maximum Entrop
Externí odkaz:
https://doaj.org/article/87ddf52e9a104e8ea4c4fb4a2ed2423e
Autor:
Bruno Cessac, Pierre Kornprobst, Selim Kraria, Hassan Nasser, Daniela Pamplona, Geoffrey Portelli, Thierry Viéville
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
The retina encodes visual scenes by trains of action potentials that are sent to the brain via the optic nerve. In this paper, we describe a new free access user-end software allowing to better understand this coding. It is called PRANAS (https://pra
Externí odkaz:
https://doaj.org/article/1820e3b8d1f549bba3b30c66539ec34a
Autor:
Hassan Nasser, Bruno Cessac
Publikováno v:
Entropy, Vol 16, Iss 4, Pp 2244-2277 (2014)
We propose a numerical method to learn maximum entropy (MaxEnt) distributions with spatio-temporal constraints from experimental spike trains. This is an extension of two papers, [10] and [4], which proposed the estimation of parameters where only sp
Externí odkaz:
https://doaj.org/article/72e252c986f546a79cc07ac36c96d471
Publikováno v:
Frontiers in Computational Neuroscience, Vol 3 (2009)
We deal with the problem of bridging the gap between two scales in neuronal modeling. At the first (microscopic) scale, neurons are considered individually and their behavior described by stochastic differential equations that govern the time variati
Externí odkaz:
https://doaj.org/article/e89b92bba35c4444b57518ba310bfeb0
Publikováno v:
Complex Days
Complex Days, Académie Systèmes Complexes, Feb 2023, Nice, France
Complex Days, Académie Systèmes Complexes, Feb 2023, Nice, France
A fundamental task for the brain is to generate predictions of future sensory inputs, and signal errors in these predictions. Many neurons have been shown to signal omitted stimuli during periodic stimulation, even in the retina. However, the mechani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec3ab146a3001ad11b10c301c125531c
https://hal.science/hal-04030986
https://hal.science/hal-04030986
