University of Delaware Neuromorphic Systems Laboratory

Evolving Synaptic Connections for a Silicon Neuromorph

David P. M. Northmore and John G. Elias
Neuroscience Program &
Department of Electrical Engineering
University of Delaware
Newark, DE. 19716

ABSTRACT

Our VLSI neuromorphs, possess spatially 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.

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