title: A mathematical model of neural information processing at the cellular level.
abstract: The basis for this neuronal model is that the properties of excitable membranes are controlled by biochemical reactions occurring in the nerve cells. The kinetics of these supposed chemical reactions is described by a set of first order differential equations. We considered the effect of regulation of the properties of sodium channels. This allows the simulation of the changes in the neuron's electrical activity parameters occurring during learning, associated with its excitability. The neuronal model exhibits different excitability after the learning procedure relative to the different input signals that corresponds to the experimental data.
authors.affiliation: Brain Research Institute, Moscow, Russia.
authors.forename: A V
authors.initials: AV
authors.lastname: Rossokhin
authors.forename: L E
authors.initials: LE
authors.lastname: Tsitolovsky
mesh_terms: D007858:Learning / Q000502:physiology; D008568:Memory / Q000502:physiology; D008954:Models, Biological; D009474:Neurons / Q000166:cytology / Q000502:physiology*