Competition between synaptic depression and facilitation in attractor neural networks

2006/04/16 by J. J. Torres, Torres, J. J., J. M. Cortes +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Neurons and Cognition (q-bio.NC) #q-bio.NC

paper · pdf · doi:10.48550/arxiv.q-bio/0604019

14 pages, 7 figures

arxiv created 2006/04/16 · arxiv updated 2009/12/01

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.

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