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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Detalles Bibliográficos
Autores principales: Takemura, Naohiro, Fukui, Takao, Inui, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675317/
https://www.ncbi.nlm.nih.gov/pubmed/26696874
http://dx.doi.org/10.3389/fncom.2015.00143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675317/
https://www.ncbi.nlm.nih.gov/pubmed/26696874
http://dx.doi.org/10.3389/fncom.2015.00143

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