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Modeling of Intrinsic and Synaptic Properties to Reveal the Cellular and Network Contribution for Vestibular Signal Processing
Author(s) -
Rössert Christian,
Pfanzelt Sandra,
Straka Hans,
Glasauer Stefan
Publication year - 2009
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2009.03766.x
Subject(s) - vestibular system , neuroscience , sensory system , computer science , sensory processing , vestibular nuclei , signal (programming language) , network model , vestibular nerve , biological system , biology , artificial intelligence , programming language
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°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°VN, to simulate perturbations, and to generate hypotheses that are testable in empiric experiments.