Un modèle générique de neurone impulsionnel adapté à la simulation événementielle
Identifieur interne : 008431 ( Main/Merge ); précédent : 008430; suivant : 008432Un modèle générique de neurone impulsionnel adapté à la simulation événementielle
Auteurs : Olivier Rochel [France] ; Dominique Martinez [France]Source :
Descripteurs français
Abstract
Cet article présente un cadre formel décrivant un modèle de neurone impulsionnel adapté à la simulation événementielle de réseaux de neurones. Tous les neurones impulsionnels pour lesquels le prochain temps d'émission de l'impulsion est calculable analytiquement peuvent être décrits par ce formalisme. Le neurone 'integrate and fire' et le neurone quadratique en sont deux exemples particuliers. Ce cadre formel a l'avantage de permettre une certaine flexibilité dans le choix des neurones indépendamment d'une plate-forme de simulation événementielle fixée.
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region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>event-driven simulation</term><term>neurones impulsionnels</term><term>simulation événementielle</term><term>spiking neurons</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Cet article présente un cadre formel décrivant un modèle de neurone impulsionnel adapté à la simulation événementielle de réseaux de neurones. Tous les neurones impulsionnels pour lesquels le prochain temps d'émission de l'impulsion est calculable analytiquement peuvent être décrits par ce formalisme. Le neurone 'integrate and fire' et le neurone quadratique en sont deux exemples particuliers. Ce cadre formel a l'avantage de permettre une certaine flexibilité dans le choix des neurones indépendamment d'une plate-forme de simulation événementielle fixée.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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