A neural model of hand grip formation during reach to grasp
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Ingeniería de Sistemas y AutomáticaFecha de publicación
2004-10Editorial
Institute of Electrical and Electronics Engineers (IEEE).Cita bibliográfica
MOLINA VILAPLANA, Javier; FELIU BATLLE, Jorge y LÓPEZ CORONADO, Juan. A neural model of hand grip formation during reach to grasp. En: IEEE International Conference on Systems, Man & Cybernetics (2004: The Hague, Netherlands) 2004 EEE International Conference on Systems, Man & Cybernetic: The Hague, Netherlands, 10 - 13 October, 2004. The Hague, Netherlands: Institute of Electrical and Electronics Engineers. Vol.1, 10-13 Oct. 2004. Pp. 542 - 546. ISBN 0-7803-8566-7Palabras clave
Modelos neuronalesDato humano
Neurorobot
Extensión de agarre
Neural models
Human data
Neurorobotics
Reach to Grasp
Resumen
In this paper, we investigate the spatio
temporal dynamics of hand pre-shaping during
prehension through a biologically plausible neural
network model. It is proposed that the hand grip
formation in prehension con be understood in terms of
basic motor programs that can be resealed both spatially
and temporally to accommodate different task demands.
The model assumes a timing coordinative role to
propioceptive reafferent information generated by the
reaching component of the movement, moidiiig the need
of a pre-organized firnctional temporal structure for the
timing of prehension as some previous models have
proposed. Predictions of the model in both Normal and
Altered initial hand aperture conditions match key
kinematic features present in human data. The differences
between the proposed model and previous models
predictions are used to tiy to identifi the majorprinciples
underlying prehensile behavior.
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