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PubMed · 8868564

Optimizing synaptic conductance calculation for network simulations.

W W Lytton
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Abstract

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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AlgorithmsAxonsComputer SimulationMarkov ChainsNeural Networks, ComputerSynapsesSynaptic TransmissionJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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BibTeXRIS

W W Lytton. 1996-04-01. Optimizing synaptic conductance calculation for network simulations.. https://doi.org/10.1162/neco.1996.8.3.501

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PubMed2026

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