title: Simulations of the behavior of synaptically driven neurons via time-invariant circuit models.
abstract: This paper describes computer simulations of the behavior of Hodgkin-Huxley neurons, based on a redefinition of membrane and synaptic connections as time-invariant circuit elements. Examples are given showing that this self-consistent equivalent circuit representation allows very efficient computer simulations and could facilitate the introduction of detailed biological neurons into formal neural networks.
authors.affiliation: Biophysical and Electronic Engineering Department, University of Genoa, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Storace
authors.forename: M
authors.initials: M
authors.lastname: Bove
authors.forename: M
authors.initials: M
authors.lastname: Grattarola
authors.forename: M
authors.initials: M
authors.lastname: Parodi
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D002462:Cell Membrane / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D017729:Presynaptic Terminals / Q000502:physiology; D013569:Synapses / Q000502:physiology*; D013997:Time Factors