Paper available: On the storage capacity of attractor neural networks with depressing synapses

[Bert Kappen]

Dear all, 

I would like to announce the following paper, which has be accepted for
Physical Review E:

On the storage capacity of attractor neural networks with depressing synapses
J.J. Torres, L. Pantic and H.J. Kappen 

We compute the capacity of a binary neural network with dynamic
depressing synapses to store and retrieve an infinite number of
patterns. We use a biologically motivated model of synaptic
depression and a standard mean-field approach. We find that at
$T=0$ the critical storage capacity decreases with the degree of
the depression. We confirm the validity of our main mean field
results with numerical simulations.

In short: dynamic synapses drastically reduce the storage capacity of
attractor neural networks.

ftp://ftp.mbfys.kun.nl/pub/snn/pub/reports/TPK_PRE2002.ps

Bert Kappen             SNN           University of Nijmegen
tel: +31 24 3614241                      fax: +31 24 3541435
URL: www.snn.kun.nl/~bert