Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses.

ABSTRACT: The synaptic connectivity of cortical networks features an overrepresentation of certain wiring motifs compared to simple random-network models. This structure is shaped, in part, by synaptic plasticity that promotes or suppresses connections between neurons depending on their joint spiking activity. Frequently, theoretical studies focus on how feedforward inputs drive plasticity to create this network structure. We study the complementary scenario of self-organized structure in a recurrent network, with spike timing-dependent plasticity driven by spontaneous dynamics. We develop a self-consistent theory for the evolution of network structure by combining fast spiking covariance with a slow evolution of synaptic weights. Through a finite-size expansion of network dynamics we obtain a low-d

SUBMITTER: Ocker GK 

PROVIDER: S-EPMC4546203 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature