title: Coupling-induced population synchronization in an excitatory population of subthreshold Izhikevich neurons.
abstract: We consider an excitatory population of subthreshold Izhikevich neurons which exhibit noise-induced firings. By varying the coupling strength J, we investigate population synchronization between the noise-induced firings which may be used for efficient cognitive processing such as sensory perception, multisensory binding, selective attention, and memory formation. As J is increased, rich types of population synchronization (e.g., spike, burst, and fast spike synchronization) are found to occur. Transitions between population synchronization and incoherence are well described in terms of an order parameter [Formula: see text]. As a final step, the coupling induces oscillator death (quenching of noise-induced spikings) because each neuron is attracted to a noisy equilibrium state. The oscillator death leads to a transition from firing to non-firing states at the population level, which may be well described in terms of the time-averaged population spike rate [Formula: see text]. In addition to the statistical-mechanical analysis using [Formula: see text] and [Formula: see text], each population and individual state are also characterized by using the techniques of nonlinear dynamics such as the raster plot of neural spikes, the time series of the membrane potential, and the phase portrait. We note that population synchronization of noise-induced firings may lead to emergence of synchronous brain rhythms in a noisy environment, associated with diverse cognitive functions.
authors.affiliation: Research Division, LABASIS Corporation, Chunchon, Gangwon-Do 200-702 Korea.
authors.forename: Sang-Yoon
authors.initials: SY
authors.lastname: Kim
authors.affiliation: Department of Science Education, Daegu National University of Education, Daegu, 705-715 Korea.
authors.forename: Woochang
authors.initials: W
authors.lastname: Lim
keywords: Cognitive functions; Population synchronization; Subthreshold Izhikevich neurons