title: Diverse population-bursting modes of adapting spiking neurons.
abstract: We study the dynamics of a noisy network of spiking neurons with spike-frequency adaptation (SFA), using a mean-field approach, in terms of a two-dimensional Fokker-Planck equation for the membrane potential of the neurons and the calcium concentration gating SFA. The long time scales of SFA allow us to use an adiabatic approximation and to describe the network as an effective nonlinear two-dimensional system. The phase diagram is computed for varying levels of SFA and synaptic coupling. Two different population-bursting regimes emerge, depending on the level of SFA in networks with noisy emission rate, due to the finite number of neurons.
authors.affiliation: Department of Technologies and Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
authors.forename: Guido
authors.initials: G
authors.lastname: Gigante
authors.forename: Maurizio
authors.initials: M
authors.lastname: Mattia
authors.forename: Paolo
authors.initials: P
authors.lastname: Del Giudice
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000222:Adaptation, Physiological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*