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

Details

Serval ID
serval:BIB_32233
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue
Journal
BioSystems
Author(s)
Toores O., Eriksson J., Moreno J.M., Villa A.E.P.
ISSN
0303-2647
Publication state
Published
Issued date
2004
Volume
76
Number
1-3
Pages
201-208
Language
english
Abstract
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.
Keywords
Spiking neuron, STDP, Hardware, Serial implementation
Web of science
Create date
19/11/2007 10:02
Last modification date
20/08/2019 13:17
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