Analysis of a nonlinear cascade model for sensory encoding by modification of ion channels

A. S. French, M. J. Korenberg

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Resumen

Mechanotransconduction is often modeled as a three-stage process in which the input stimulus is first transformed by mechanical components, then transduced into an intracellular receptor current, and finally encoded into a train of action potentials. In the cockroach tactile spine, a rapidly adapting sensory organ, the dynamic behavior is controlled by the encoding stage. It has been previously shown that a nonlinear cascaded model can account for much of the dynamic response. Here, the authors describe the dissection of the cascade by the use of phentolamine, a drug which appears to selectively modify the behavior of sodium channels in the encoder region of the neuron. Phentolamine raised the threshold of the neuron and slowed its discharge rate to a constant white noise stimulus, but did not prevent system identification. Preliminary results suggest that the nonlinear static component of the cascade is unaffected by this drug, while the nonlinear dynamic components are changed. These results may be due to the ionic processes involved in action potential encoding.

Idioma originalEnglish
Título de la publicación alojadaBiomedical Engineering Perspectives
Subtítulo de la publicación alojadaHealth Care Technologies for the 1990's and Beyond
EditorialPubl by IEEE
Páginas25-26
Número de páginas2
Ediciónpt 1
ISBN (versión impresa)0879425598
EstadoPublished - 1990
Publicado de forma externa
EventoProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duración: nov. 1 1990nov. 4 1990

Serie de la publicación

NombreProceedings of the Annual Conference on Engineering in Medicine and Biology
Númeropt 1
ISSN (versión impresa)0589-1019

Conference

ConferenceProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CiudadPhiladelphia, PA, USA
Período11/1/9011/4/90

ASJC Scopus Subject Areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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