Network response synchronization enhanced by synaptic plasticity
Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
Received: 1 October 2015
Revised: 11 January 2016
Published online: 29 February 2016
Synchronization of neural network response on spatially localized periodic stimulation was studied. The network consisted of synaptically coupled spiking neurons with spike-timing-dependent synaptic plasticity (STDP). Network connectivity was defined by time evolving matrix of synaptic weights. We found that the steady-state spatial pattern of the weights could be rearranged due to locally applied external periodic stimulation. A method for visualization of synaptic weights as vector field was introduced to monitor the evolving connectivity matrix. We demonstrated that changes in the vector field and associated weight rearrangements underlay an enhancement of synchronization range.
© EDP Sciences, Springer-Verlag, 2016