Anatomically and experimentally based neural networks modeling force coordination in static multi-finger tasks

Neurocomputing

Volumn 47, Issue 1-4, 2002, Pages 259-275

  Li, Z M ^a   Zatsiorsky, V M ^b   Latash, M L ^b   Bose, N K ^c  

^a WALSH UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c The Pennsylvania State University   (United States)

Author keywords

Backpropagation; Finger force; Motor control; Neural networks

Indexed keywords

COMPUTER TESTING; DATA REDUCTION; MUSCLE; SET THEORY; TENDONS;

NEUROMOTOR SYSTEM;

FEEDFORWARD NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; COMPUTER SIMULATION; CONTROL SYSTEM; CONTROLLED STUDY; EXPERIMENTAL DESIGN; FINGER; FUNCTIONAL ANATOMY; HAND FUNCTION; HAND MUSCLE; HUMAN; MALE; MOTOR CONTROL; MUSCLE FORCE; PREDICTION; PRIORITY JOURNAL; REVIEW; TASK PERFORMANCE; VALIDATION PROCESS;

EID: 0036707114     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00603-8     Document Type: Review

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