Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue

Détails

ID Serval
serval:BIB_32233
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue
Périodique
BioSystems
Auteur(s)
Toores O., Eriksson J., Moreno J.M., Villa A.E.P.
ISSN
0303-2647
Statut éditorial
Publié
Date de publication
2004
Volume
76
Numéro
1-3
Pages
201-208
Langue
anglais
Résumé
In this paper we describe the hardware implementation of a spiking neuron model, which uses a spike time dependent plasticity (STDP) rule that allows synaptic changes by discrete time steps. For this purpose an integrate-and-fire neuron is used with recurrent local connections. The connectivity of this model has been set to 24 neighbours, so there is a high degree of parallelism. After obtaining good results with the hardware implementation of the model, we proceed to simplify this hardware description, trying to keep the same behaviour. Some experiments using dynamic grading patterns have been used in order to test the learning capabilities of the model. Finally, the serial implementation has been realized.
Mots-clé
Spiking neuron, STDP, Hardware, Serial implementation
Web of science
Création de la notice
19/11/2007 10:02
Dernière modification de la notice
20/08/2019 13:17
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