Neural modelling of hand grip formation during reach to grasp

被引：3

作者：

Molina-Vilaplana, J. ^{[1
]}

Lopez-Coronado, J. ^{[1
]}

机构：

[1] Tech Univ Cartagena, Dept Syst Engn & Automat, E-30202 Murcia, Spain

来源：

NEUROCOMPUTING | 2007年 / 71卷 / 1-3期

基金：

美国国家科学基金会;

关键词：

human prehension movements; computational neural models; motor control;

D O I：

10.1016/j.neucom.2007.08.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We investigate the spatio-temporal dynamics of hand preshaping during prehension through a biologically plausible neural model. The hand grip formation is generated through neural modulation of basic motor programs that can be rescaled to accommodate different task demands. The model assumes a timing role to propioceptive reafferent information generated by the reaching component of the movement, avoiding the need of a preorganized functional 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. (C) 2007 Published by Elsevier B.V.

引用

页码：411 / 416

页数：6

共 22 条

[21] Unraveling the interaction between pathological upper limb synergies and compensatory trunk movements during reach-to-grasp after stroke: a cross-sectional study [J].

van Kordelaar, Joost ;

van Wegen, Erwin E. H. ;

Kwakkel, Gert .

EXPERIMENTAL BRAIN RESEARCH, 2012, 221 (03) :251-262

[22] Research on Construction Method of Neural Network Model with Spatiotemporal Coordination during Arm Transport and Hand Preshape [J].

Zhang Shaobai ;

Shi Mengtian .

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, :4780-4785

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