title: Neural networks through the hourglass.
abstract: 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.
authors.affiliation: Mathematical Center, Lund University, Sweden. tatyana@maths.lth.se
authors.forename: T
authors.initials: T
authors.lastname: Turova
mesh_terms: D008959:Models, Neurological; D009415:Nerve Net; D009473:Neuronal Plasticity; D013569:Synapses / Q000502:physiology