Competition between synaptic depression and facilitation in attractor neural networks
Neurons and Cognition
2007-05-23 v1
Abstract
We study the effect of competition between short-term synaptic depression and facilitation on the dynamical properties of attractor neural networks, using Monte Carlo simulation and a mean field analysis. Depending on the balance between depression, facilitation and the noise, the network displays different behaviours, including associative memory and switching of the activity between different attractors. We conclude that synaptic facilitation enhances the attractor instability in a way that (i) intensifies the system adaptability to external stimuli, which is in agreement with experiments, and (ii) favours the retrieval of information with less error during short--time intervals.
Keywords
Cite
@article{arxiv.q-bio/0604019,
title = {Competition between synaptic depression and facilitation in attractor neural networks},
author = {J. J. Torres and J. M. Cortes and J. Marro and H. J. Kappen},
journal= {arXiv preprint arXiv:q-bio/0604019},
year = {2007}
}
Comments
14 pages, 7 figures