Modeling of Intrinsic and Synaptic Properties to Reveal the Cellular and Network Contribution for Vestibular Signal Processing

Rössert, Christian; Pfanzelt, Sandra; Straka, Hans und 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

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.

• Item Type: Journal article
• Faculties: Biology > Department Biology II > Neurobiology
• Subjects: 500 Science > 570 Life sciences; biology
• ISSN: 0077-8923
• Language: English