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Rössert, Christian; Pfanzelt, Sandra; Straka, Hans ORCID: 0000-0003-2874-0441; Glasauer, Stefan (2009): Modeling of Intrinsic and Synaptic Properties to Reveal the Cellular and Network Contribution for Vestibular Signal Processing. In: Annals of the New York Academy of Sciences, Vol. 1164: pp. 451-454
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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.