title: Simple central pattern generator model using phasic analog neurons.
abstract: Many biological neurons (called phasic or adapting neurons) display neural adaptation: their response to a constant input diminishes with time. A simple method of adding adaptive firing thresholds to existing analog (or graded-response) neural models is described. A half-center central pattern generator is modeled using two mutually inhibitory phasic analog neurons. Hopf bifurcation analysis shows that oscillatory solutions will arise if the mutual inhibition is sufficiently strong, and allows us to characterize the stability of the cycles which arise.
authors.affiliation: Institute for Aerospace Studies, University of Toronto, 4925 Dufferin Street, Toronto, Ontario, Canada M3H 5T6. drm@sdr.utias.utoronto.ca
authors.forename: D R
authors.initials: DR
authors.lastname: McMillen
authors.forename: G M
authors.initials: GM
authors.lastname: D'Eleuterio
authors.forename: J R
authors.initials: JR
authors.lastname: Halperin
mesh_terms: D000818:Animals; D055592:Biophysical Phenomena; D001703:Biophysics; D001921:Brain / Q000502:physiology; D008954:Models, Biological; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D013997:Time Factors