Two-phase strategy of controlling motor coordination determined by task performance optimality

Biological Cybernetics

Volumn 107, Issue 1, 2013, Pages 107-129

  Shimansky, Yury P ^a   Rand, Miya K ^b  

^a Arizona State University   (United States)

^b LEIBNIZ RESEARCH CENTRE FOR WORKING ENVIRONMENT AND HUMAN FACTORS   (Germany)

Author keywords

Motor variability; Optimal control; Precision demand regulation; Reaching; State estimation

Indexed keywords

EXPERIMENTAL DATA ANALYSIS; EXPLICIT KNOWLEDGE; INFORMATION ACQUISITIONS; MOTOR CO-ORDINATION; MOTOR PLANTS; NEURAL COMPUTATIONS; OPTIMAL CONTROL STRATEGY; OPTIMAL CONTROLS; OPTIMAL COORDINATION; OPTIMALITY; OPTIMALITY CRITERIA; OPTIMIZED CONTROL; PRECISION DEMAND; QUANTITATIVE MODELS; REACH-TO-GRASP MOVEMENTS; REACHING; TARGET OBJECT; TASK PERFORMANCE; TWO-PHASE CONTROL;

BIOMECHANICS; COST REDUCTION; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; STATE ESTIMATION;

OPTIMIZATION;

ARTICLE; HUMAN; PSYCHOMOTOR PERFORMANCE; TASK PERFORMANCE; THEORETICAL MODEL;

HUMANS; MODELS, THEORETICAL; PSYCHOMOTOR PERFORMANCE; TASK PERFORMANCE AND ANALYSIS;

MLCS; MLOWN;

EID: 84872968978     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-012-0537-z     Document Type: Article

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