Publication
Title
Fast calculation of short-term depressing synaptic conductances
Author
Abstract
An efficient implementation of synaptic transmission models in realistic network simulations is an important theme of computational neuroscience. The amount of CPU time required to simulate synaptic interactions can increase as the square of the number of units of such networks, depending on the connectivity convergence. As a consequence, any realistic description of synaptic phenomena, incorporating biophysical details, is computationally highly demanding. We present a consolidating algorithm based on a biophysical extended model of ligand-gated postsynaptic channels, describing short-term plasticity such as synaptic depression. The considerable speedup of simulation times makes this algorithm suitable for investigating emergent collective effects of short-term depression in large-scale networks of model neurons.
Language
English
Source (journal)
Neural computation. - Cambridge, Mass.
Publication
Cambridge, Mass. : 1999
ISSN
0899-7667
Volume/pages
11:6(1999), p. 1413-1426
ISI
000081806000007
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 10.02.2011
Last edited 10.10.2017