Neural Computation, Vol 8, 501-509, Copyright © 1996 by The MIT Press

ARTICLES

Optimizing synaptic conductance calculation for network simulations

WW Lytton
Department of Neurology, University of Wisconsin, Madison 53706, USA.

High computational requirements in realistic neuronal network simulations have led to attempts to realize implementation efficiencies while maintaining as much realism as possible. Since the number of synapses in a network will generally far exceed the number of neurons, simulation of synaptic activation may be a large proportion of total processing time. We present a consolidating algorithm based on a recent biophysically-inspired simplified Markov model of the synapse. Use of a single lumped state variable to represent a large number of converging synaptic inputs results in substantial speed-ups.

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