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A Computational Model for Aperture Control in Reach-to-Grasp Movement Based on Predictive Variability
In human reach-to-grasp movement, visual occlusion of a target object leads to a larger peak grip aperture compared to conditions where online vision is available. However, no previous computational and neural network models for reach-to-grasp movement explain the mechanism of this effect. We simula...
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| Publicado en: | Front Comput Neurosci |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4675317/ https://ncbi.nlm.nih.gov/pubmed/26696874 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2015.00143 |
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