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The advantage of flexible neuronal tunings in neural network models for motor learning
Human motor adaptation to novel environments is often modeled by a basis function network that transforms desired movement properties into estimated forces. This network employs a layer of nodes that have fixed broad tunings that generalize across the input domain. Learning is achieved by updating t...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3719014/ https://ncbi.nlm.nih.gov/pubmed/23888141 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2013.00100 |
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