Your browser doesn't support javascript.
loading
A leg to stand on: computational models of proprioception.
Dallmann, Chris J; Karashchuk, Pierre; Brunton, Bingni W; Tuthill, John C.
Afiliación
  • Dallmann CJ; Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
  • Karashchuk P; Neuroscience Graduate Program, University of Washington, Seattle, WA, USA.
  • Brunton BW; Department of Biology, University of Washington, Seattle, WA, USA.
  • Tuthill JC; Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
Curr Opin Physiol ; 222021 Aug.
Article en En | MEDLINE | ID: mdl-34595361
ABSTRACT
Dexterous motor control requires feedback from proprioceptors, internal mechanosensory neurons that sense the body's position and movement. An outstanding question in neuroscience is how diverse proprioceptive feedback signals contribute to flexible motor control. Genetic tools now enable targeted recording and perturbation of proprioceptive neurons in behaving animals; however, these experiments can be challenging to interpret, due to the tight coupling of proprioception and motor control. Here, we argue that understanding the role of proprioceptive feedback in controlling behavior will be aided by the development of multiscale models of sensorimotor loops. We review current phenomenological and structural models for proprioceptor encoding and discuss how they may be integrated with existing models of posture, movement, and body state estimation.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Año: 2021 Tipo del documento: Article