J. Marro et al., EFFECT OF CORRELATED FLUCTUATIONS OF SYNAPSES IN THE PERFORMANCE OF NEURAL NETWORKS, Physical review letters, 81(13), 1998, pp. 2827-2830
We consider stochastic neural networks in which synaptic intensities r
apidly fluctuate-around means given by a learning rule-competing with
neuron activity. Each snapshot of synaptic intensities contains the ne
uron-neuron correlations in one of the stored patterns chosen at rando
m. The result is apparently noisy behavior which induces robustness, i
ncluding improved associative and pattern recognition processes. The m
ain result here might apply to biological systems that exhibit fluctua
ting patterns of synapses.