Instability of attractors in autoassociative networks with bioinspired fast synaptic noise

Details Instability of attractors in autoassociative networks with bioinspired fast synaptic noise Instability of attractors in autoassociative networks with bioinspired fast synaptic noise

2006-04-16

arxiv.org/abs/q-bio/0604021v1

LNCS 3512: 161-167, 2005

Biology

Quantitative Biology

Neurons and Cognition

6 pages, 2 figures

Scientific paper

We studied autoassociative networks in which synapses are noisy on a time scale much shorter that the one for the neuron dynamics. In our model a presynaptic noise causes postsynaptic depression as recently observed in neurobiological systems. This results in a nonequilibrium condition in which the network sensitivity to an external stimulus is enhanced. In particular, the fixed points are qualitatively modified, and the system may easily scape from the attractors. As a result, in addition to pattern recognition, the model is useful for class identification and categorization.

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