Evolving synaptic connections for a silicon neuromorph

Author

Northmore, David P M ; Elias, John G.

Author_Institution

Neurosci. Program & Electr. Eng., Delaware Univ., Newark, DE, USA

fYear

1994

fDate

27-29 Jun 1994

Firstpage

753

Abstract

Our VLSI neuromorphs possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropriate connections to the synapses using genetic algorithms. In order to reduce the very large solution space, schemes for specifying connections have been borrowed from neural development. Results show the evolution of connections to a single neuromorph for the discrimination of temporal and spatio-temporal patterns

Keywords

VLSI; genetic algorithms; neural chips; pattern recognition; signal processing; temporal reasoning; VLSI neuromorphs; dendritic trees; excitatory synaptic sites; genetic algorithms; inhibitory synaptic sites; neural development; signal processing; solution space; spatiotemporal patterns; synaptic connections evolution; temporal pattern discrimination; Biomedical signal processing; Biomembranes; Circuits; Immune system; Neurons; Neuroscience; Signal processing algorithms; Silicon; Threshold voltage; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1899-4

Type

conf

DOI

10.1109/ICEC.1994.349962

Filename

349962