Neural networks through the hourglass

摘要

The effect of the synaptic plasticity on the dynamics of a large neural network is studied. Our approach is analytic but inspired by the data, both simulated and experimental. We explain formation of the small strongly connected assemblies within a dynamical network following Hebb's rule. Also, we find the conditions for the synchrony effect in the stochastic network in the absence of large synchronized input. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved. [References: 13]