Modeling of intrinsic and synaptic properties to reveal the cellular and network contribution for vestibular signal processing.
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.
Rössert
Christian
C
Department of Neurology, BCCN, Ludwig-Maximilians-Universität München, München, Germany. Roessert@lrz.uni-muenchen.de
Pfanzelt
Sandra
S
Straka
Hans
H
Glasauer
Stefan
S
D008954:Models, Biological; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology*; D014722:Vestibule, Labyrinth / Q000166:cytology / Q000502:physiology*