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Journal of Computational Neuroscience

Erschienen in:

01.06.2011

Spiking neural network simulation: memory-optimal synaptic event scheduling

verfasst von: Robert D. Stewart, Kevin N. Gurney

Erschienen in: Journal of Computational Neuroscience | Ausgabe 3/2011

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Abstract

Spiking neural network simulations incorporating variable transmission delays require synaptic events to be scheduled prior to delivery. Conventional methods have memory requirements that scale with the total number of synapses in a network. We introduce novel scheduling algorithms for both discrete and continuous event delivery, where the memory requirement scales instead with the number of neurons. Superior algorithmic performance is demonstrated using large-scale, benchmarking network simulations.

Vorheriger Artikel Capacity analysis in multi-state synaptic models: a retrieval probability perspective

Nächster Artikel A new 3D mass diffusion–reaction model in the neuromuscular junction

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http://senselab.med.yale.edu/senselab/modeldb

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Titel: Spiking neural network simulation: memory-optimal synaptic event scheduling
verfasst von: Robert D. Stewart
Kevin N. Gurney
Publikationsdatum: 01.06.2011
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 3/2011
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-010-0288-6

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