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18 résultats avec le mot-clé: 'long time behavior field model interacting spiking neurons'

Long time behavior of a mean-field model of interacting spiking neurons

Keywords: McKean-Vlasov stochastic processes; Long time behavior; Mean-field interaction; Volterra integral equation; Hopf

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Long time behavior of a mean-field model of interacting neurons

The long time behavior of the particles system (1) has been studied in [16, 22] (again in a slightly different setting but the methods could be adapted to our case): the authors

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Spiking dynamics of interacting oscillatory neurons

The unit has three fixed points and stable limit cycle corresponding to periodic spike train.. (b) Excitable dynamics of the

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Hopf bifurcation in a Mean-Field model of spiking neurons

We study a family of non-linear McKean-Vlasov SDEs driven by a Poisson measure, modelling the mean-field asymptotic of a network of generalized Integrate-and-Fire neurons. We

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Vitamin D supplementation

This is an important health issue about which our col- leagues  should  be  well  informed,  and  the  review  con- tributes  substantially  to  this  end. 

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Statistical Field Theory and Networks of Spiking Neurons

Our model keeps track of individual interacting neurons dynamics but also preserves some of the features and goals of neural …eld dynamics, such as indexing a large number of neurons

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AVIS D’OPPORTUNITÉ Enquête sur les entreprises et la sous-traitance en 2019 __________

Les résultats de cette enquête intéressent tous les services statistiques ministériels (SSM) couvrant le système productif (SDES pour le secteur des transports et de la

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Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method

Another approach for the study of the network dynamical behavior is based on a direct numerical evaluation of solutions of the (stochastic) coupled differential equations (38)–(40).

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Code social - Droit du travail 2019

tions d’octroi d’un complément d’entreprise dans le cadre du régime de chô- mage avec complément d’entreprise pour certains travailleurs âgés licenciés qui ont travaillé

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Modeling networks of spiking neurons as interacting processes with memory of variable length

Infinite systems of interacting processes with memory of variable length in discrete time We introduce a new class of stochastic processes, both in discrete and in continuous

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2022
Optimisation pour l'apprentissage et apprentissage pour l'optimisation

Le hapitre 2 porte sur les plans d'exp erien e dont nous nous servons pour hoisir d'une mani ere judi ieuse les ouples utilis es au ours de l'apprentissage du r eseau.. Apr

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The Movement Of Mandela

Nelson Mandela ensured that a peaceful transition between apartheid and democracy took place in South Africa’s first democratic elections in April 1994 although

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TOTAL OF 10 PAGES ONLY MAY BE XEROXED

The variation of velocity with depth is given in terms of parameters a and b, and the elliptical anisotropy is given in terms of parameter X· An analytical

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Spiking regimes in model networks of hippocampal persistent firing neurons

The interaction between CAN-mediated persistent firing and synaptic activity allow for the emergence of self-sustained synchronous theta oscillations in the CAN pyramidal

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Tension électrique aux bornes de la lampe

Entre deux lampes de même tension nominale, celle dont l’intensité nominale est la plus grande brille plus (elle est plus puissante).

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State-dependent mean-field formalism to model different activity states in conductance based networks of spiking neurons

Despite analytic solutions for the mean field dynamics has already been proposed for current based neurons (CUBA), a complete analytic description has not been achieved yet for

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Algorithmic information theory: a gentle introduction

many versions since inputs and outputs can be considered with different structures (topologies): discrete and continuous (as prefixes of infinite sequences): this gives four

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Heterogeneous Hybrid Neural Network for Modeling Spatially Distributed Destructive Processes

In this paper, a hybrid model of cellular neural network based on het- erogeneous spiking neurons connected with a spatial model of terrain through hierarchically ordered

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