Analysis of clustered firing patterns in synaptically coupled networks of oscillators.
Oscillators in networks may display a variety of activity patterns. This paper presents a geometric singular perturbation analysis of clustering, or alternate firing of synchronized subgroups, among synaptically coupled oscillators. We consideroscillators in two types of networks: mutually coupled, with all-to-all inhibitory connections, and globally inhibitory, with one excitatory and one inhibitory population of oscillators, each of arbitrary size. Our analysis yields existence and stability conditions for clustered states, along with formulas for the periods of such firing patterns. By using two different approaches, we derive complementary conditions, the first set stated in terms of time lengths determined by intrinsic and synaptic properties of the oscillators and their coupling and the second set stated in terms of model parameters and phase space structures directly linked to parameters. These results suggest how biological components may interact to produce the spindle sleep rhythm in thalamocortical networks.
Rubin
J
J
Department of Mathematics, The Ohio State University, Columbus 43210, USA. rubin@math.pitt.edu
Terman
D
D
D016000:Cluster Analysis; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D009716:Numerical Analysis, Computer-Assisted; D012890:Sleep / Q000502:physiology; D013569:Synapses / Q000502:physiology; D013788:Thalamus / Q000502:physiology