title: Modeling of intrinsic and synaptic properties to reveal the cellular and network contribution for vestibular signal processing.
abstract: Computational modeling of cellular and network properties of central vestibular neurons is necessary for understanding the mechanisms of sensory-motor transformation for gaze stabilization. As a first step to mathematically describe vestibular signal processing, the available physiological data of the synaptic and intrinsic properties of frog second-order vestibular neurons (2 degrees VN) were used to create a model that combines cellular and network parameters. With this approach it is now possible to reveal the particular contributions of intrinsic membrane versus emerging network properties in shaping labyrinthine afferent-evoked synaptic responses in 2 degrees VN, to simulate perturbations, and to generate hypotheses that are testable in empiric experiments.
authors: Department of Neurology, BCCN, Ludwig-Maximilians-Universität München, München, Germany. Roessert@lrz.uni-muenchen.de
authors: Christian
authors: C
authors: Rössert
authors: Sandra
authors: S
authors: Pfanzelt
authors: Hans
authors: H
authors: Straka
authors: Stefan
authors: S
authors: Glasauer
mesh_terms: D008954:Models, Biological; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology*; D014722:Vestibule, Labyrinth / Q000166:cytology / Q000502:physiology*