Cargando…
A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control
The cerebellar granule cells (GCs) have been proposed to perform lossless, adaptive spatio-temporal coding of incoming sensory/motor information required by downstream cerebellar circuits to support motor learning, motor coordination, and cognition. Here we use a physio-anatomically inspired bi-hemi...
Autores principales: | Pinzon-Morales, Ruben-Dario, Hirata, Yutaka |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416449/ https://www.ncbi.nlm.nih.gov/pubmed/25983678 http://dx.doi.org/10.3389/fncir.2015.00018 |
Ejemplares similares
-
A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control
por: Pinzon-Morales, Ruben-Dario, et al.
Publicado: (2014) -
Spontaneous firing activity in climbing fiber is critical for a realistic bi-hemispherical cerebellar neuronal network during robot control
por: Pinzon-Morales, Ruben-Dario, et al.
Publicado: (2014) -
Evaluation of Teaching Signals for Motor Control in the Cerebellum during Real-World Robot Application
por: Pinzon Morales, Ruben Dario, et al.
Publicado: (2016) -
Adaptive control of 2-wheeled balancing robot by two hemispheric cerebellar neuronal network model
por: Pinzon-Morales, Ruben-Dario, et al.
Publicado: (2012) -
The number of granular cells in a cerebellar neuronal network model engaged during robot control increases with the complexity of the motor task
por: Pinzon-Morales, Ruben-Dario, et al.
Publicado: (2014)