Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Camille Gontier"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011342 (2023)
Bayesian Active Learning (BAL) is an efficient framework for learning the parameters of a model, in which input stimuli are selected to maximize the mutual information between the observations and the unknown parameters. However, the applicability of
Externí odkaz:
https://doaj.org/article/c15909eb43f44e6686c426d7af77c722
Autor:
Camille Gontier, Jean-Pascal Pfister
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Synapses are highly stochastic transmission units. A classical model describing this stochastic transmission is called the binomial model, and its underlying parameters can be estimated from postsynaptic responses to evoked stimuli. The accuracy of p
Externí odkaz:
https://doaj.org/article/5f6f56eb7f0b4626bb952d2ddeb021f8
Autor:
Ola Bykowska, Camille Gontier, Anne-Lene Sax, David W. Jia, Milton Llera Montero, Alex D. Bird, Conor Houghton, Jean-Pascal Pfister, Rui Ponte Costa
Publikováno v:
Frontiers in Synaptic Neuroscience, Vol 11 (2019)
Synaptic computation is believed to underlie many forms of animal behavior. A correct identification of synaptic transmission properties is thus crucial for a better understanding of how the brain processes information, stores memories and learns. Re
Externí odkaz:
https://doaj.org/article/0b3afddecd954de79760c2a932d5971d
Autor:
Camille Gontier
Publikováno v:
Sciences sociales et sport. :11-38
Autor:
Denis-Gabriel Caprace, Mehdi Scoubeau, Mohammad Iranmanesh, Vladimir Pletser, Camille Gontier
Publikováno v:
Microgravity Science and Technology, Vol. 32, no.1, p. 1121–1132 (2020)
Access to earthbound weightlessness is critical to many branches of applied sciences. Besides, several space systems require microgravity testing before their launch. Existing solutions (drop towers, parabolic flights, sounding rockets) offer variabl
Autor:
Jean-Pascal Pfister, Camille Gontier
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Frontiers in Computational Neuroscience, 14
Gontier, Camille; Pfister, Jean-Pascal (2020). Identifiability of a Binomial Synapse. Frontiers in computational neuroscience, 14 Frontiers Research Foundation 10.3389/fncom.2020.558477
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, 14
Gontier, Camille; Pfister, Jean-Pascal (2020). Identifiability of a Binomial Synapse. Frontiers in computational neuroscience, 14 Frontiers Research Foundation 10.3389/fncom.2020.558477
Frontiers in Computational Neuroscience
Synapses are highly stochastic transmission units. A classical model describing this stochastic transmission is called the binomial model, and its underlying parameters can be estimated from postsynaptic responses to evoked stimuli. The accuracy of p
Publikováno v:
European Journal of Mechanics-A/Solids
European Journal of Mechanics-A/Solids, Elsevier, 2010, 28 (5), pp.935. ⟨10.1016/j.euromechsol.2009.03.002⟩
European Journal of Mechanics-A/Solids, Elsevier, 2010, 28 (5), pp.935. ⟨10.1016/j.euromechsol.2009.03.002⟩
International audience; The present paper deals with the characterisation of the static mechanical behaviour of an energetic material all along its lifespan. The material behaviour is viscoplastic, damageable and sensitive to hydrostatic pressure. Fo
Autor:
Camille Gontier, Michel Raffy
Publikováno v:
Mécanique & Industries. 7:373-382
Le present article developpe une approche permettant d'evaluer les erreurs statistiques commises sur les parametres modaux obtenus lors d'une identification deterministe, c'est-a-dire lorsque l'excitation peut etre mesuree. A partir des resultats d'u
Autor:
M. Raffy, Camille Gontier
Publikováno v:
Mechanical Systems and Signal Processing. 19:714-735
This paper deals with the estimation of the statistical dispersion of the modal parameters of a structure, frequencies and damping ratios obtained from subspace identification. The main objective is to apply, after some useful modifications, the theo
Autor:
Camille Gontier
Publikováno v:
Mechanical Systems and Signal Processing. 19:1-19
As a consequence of progress in structure modal analysis, in-operation modal tests are more and more widely performed, thus providing a realistic characterisation of the system in its environment. In this framework, it is worthwhile considering the s