How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime.

ABSTRACT: Pattern formation, i.e., the generation of an inhomogeneous spatial activity distribution in a dynamical system with translation invariant structure, is a well-studied phenomenon in neuronal network dynamics, specifically in neural field models. These are population models to describe the spatio-temporal dynamics of large groups of neurons in terms of macroscopic variables such as population firing rates. Though neural field models are often deduced from and equipped with biophysically meaningful properties, a direct mapping to simulations of individual spiking neuron populations is rarely considered. Neurons have a distinct identity defined by their action on their postsynaptic targets. In its simplest form they act either excitatorily or inhibitorily. When the distribution of neuron iden

SUBMITTER: Kriener B 

PROVIDER: S-EPMC3882721 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature