Modeling of intrinsic and synaptic properties to reveal the cellular and network contribution for vestibular signal processing.
Ann N Y Acad Sci
; 1164: 451-4, 2009 May.
Article
em En
| MEDLINE
| ID: mdl-19645946
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sinapses
/
Vestíbulo do Labirinto
/
Neurônios
Idioma:
En
Revista:
Ann N Y Acad Sci
Ano de publicação:
2009
Tipo de documento:
Article
País de afiliação:
Alemanha