Control of arm movement using population of neurons

Movements of the human arm in a horizontal plane are very stereotyped in the sense that the corresponding paths are mainly straight lines and the velocity profiles are “bell-shaped like” functions. A dynamics of two link model of the human arm has been studied with the goal of synthesizing the torqu...

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Bibliographic Details
Published in:Mathematical and computer modelling 2002-06, Vol.35 (11), p.1261-1269
Main Authors: Nenadic, Z., Anderson, C.H., Ghosh, B.
Format: Article
Language:English
Subjects:
Applications
Biological and medical sciences
Biology, psychology, social sciences
Biomechanics. Biorheology
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Internal dynamics
Mathematics
Neural activities
Optimal decoding
Path plan
Probability and statistics
Sciences and techniques of general use
Statistics
Tissues, organs and organisms biophysics
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Summary:Movements of the human arm in a horizontal plane are very stereotyped in the sense that the corresponding paths are mainly straight lines and the velocity profiles are “bell-shaped like” functions. A dynamics of two link model of the human arm has been studied with the goal of synthesizing the torques which accomplish the desired transfer. The parameters of the desired trajectory, as well as the system variables, are encoded using populations of a different number of neurons. The driving torques are generated from the corresponding activities using an optimal decoding rule.
ISSN:0895-7177
1872-9479
DOI:10.1016/S0895-7177(02)00084-5