Abstract
We investigate the effect of non-local synaptic enhancement within the framework of networks of formal neurons. Enhancement of nearby synapses on a common axon without simultaneous post- and presynaptic stimulation is modelled by a generalized Hebbian rule. The imprinted patterns of activity are no longer attractors of the network dynamics, but are processed instead. The network acts as a low band-pass filter for spatially uncorrelated patterns and can discriminate spatially correlated patterns, according to their degree and range of correlation. While the network is processing information, it still maintains some of the error-correcting properties of attractor neural networks.
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