Effect of Correlated Fluctuations of Synapses in the Performance of Neural Networks
Joaquín Marro, Pedro L. Garrido, Joaquı́n J. Torres · Physical Review Letters · 1998
We consider stochastic neural networks in which synaptic intensities rapidly fluctuate---around means given by a learning rule---competing with neuron activity. Each snapshot of synaptic intensities contains the neuron-neuron correlations in one of the stored patterns chosen at random. The result is apparently noisy behavior which induces robustness, including improved associative and pattern recognition processes. The main result here might apply to biological systems that exhibit fluctuating patterns of synapses.