title: Stochastic dynamical aspects of neuronal activity.
abstract: A stochastic model of neuronal activity is proposed. Some stochastic differential equations based on jump processes are used to investigate the behavior of the membrane potential at a time scale small with respect to the neuronal states time evolution. A model for learning, implying short memory effects, is described.
authors.affiliation: Theoretische Physik und BiBoS, Universität Bielefeld, Federal Republic of Germany.
authors.forename: P
authors.initials: P
authors.lastname: Blanchard
authors.forename: P
authors.initials: P
authors.lastname: Combe
authors.forename: H
authors.initials: H
authors.lastname: Nencka
authors.forename: R
authors.initials: R
authors.lastname: Rodriguez
mesh_terms: D000818:Animals; D006801:Humans; D007858:Learning / Q000502:physiology; D008564:Membrane Potentials / Q000502:physiology; D008570:Memory, Short-Term / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes