| Autor: |
Ruben Dario Pinzon Morales, Yutaka eHirata |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
Frontiers in Neural Circuits, Vol 9 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
1662-5110 |
| DOI: |
10.3389/fncir.2015.00018 |
| Popis: |
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 textcolor{red}{support} motor learning, motor coordination, and cognition. Here we use a physio-anatomically inspired bi-hemispheric cerebellar neuronal network (biCNN) to selectively enable/disable the output of GCs and evaluate the behavioral and neural consequences during three different control scenarios. The control scenarios are a simple direct current motor (1 degree of freedom: DOF), an unstable two-wheel balancing robot (2 DOFs), and a simulation model of a quadcopter (6 DOFs). Results showed that adequate control was maintained with a relatively small number of GCs ($ |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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