Synchrony in Stochastic Pulse coupled Neuronal Network Models

Maxim Shkarayev

Description

Niveau: Secondaire
Synchrony in Stochastic Pulse-coupled Neuronal Network Models Katie Newhall1 Gregor Kovacˇicˇ and Peter Kramer1 Aaditya Rangan and David Cai2 1Rensselaer Polytechnic Institute, Troy, New York 2Courant Institute, New York, New York January 19, 2009 Stochastic Models in Neuroscience Marseille, France

• neuronal model


• fire dynamics


• membrane potential


• dynamics ?


• vt ?


• leakage rate


• stochastic pulse


• firing threshold

Sujets

• Membrane potential

Informations

• Publié par: profil-shien-2012
• Nombre de lectures: 42
• Langue: English
• Poids de l'ouvrage: 1 Mo

Extrait

SynchronyinStochasticPulse-coupled NeuronalNetworkModels KatieNewhall 1 GregorKovacˇicˇandPeterKramer 1 AadityaRanganandDavidCai 2 1 RensselaerPolytechnicInstitute,Troy,NewYork 2 CourantInstitute,NewYork,NewYork January19,2009 StochasticModelsinNeuroscience Marseille,France

MotivationandGoals ◮ Motivation:NeuronalModelBehavior ◮ Studythemostbasicpointneuronmodels,networkmodels, andcoarse-grainedmodelsforuseincomputations ◮ Developnewanalyticaltechniques ◮ Lookforsimple,universalnetworkmechanisms ◮ Goals:UnderstandOscillatoryDynamicsofIFModel ◮ Generalizeclassicalproblemofperfectlysynchronous Integrate-and-Fire(IF)networkoscillationstostochastic setting ◮ Quantitativeanalysisofmechanismsustainingsynchrony ◮ Lessonsforunderstandingmorecomplicatedmodelsandtypes ofoscillations?