DocumentCode
1577695
Title
Neural model of multijoint movement learning and control
Author
Frolov, A.A. ; Birjukova, E.V. ; Roschin, V.Y.
Author_Institution
Inst. of Higher Nervous Activity & Neurophysiol., Acad. of Sci., Moscow, Russia
fYear
1992
Firstpage
895
Abstract
The authors consider motor control neural networks as specific dynamic systems and assume the choice of the particular movement among the different implementations of the motor plan to be a consequence of their organization and operation. They attempt to develop a model of multijoint movement control and learning in the context of the whole neuro-musculo-skeletal system, whose observed movement is the consequence of mechanical properties of the musculo-skeletal system, nervous regulation and neural mechanisms of motor learning. In accordance with these natural levels of description three inherently connected components of the model are considered
Keywords
biocybernetics; neural nets; position control; learning; motor control neural networks; multijoint movement control; nervous regulation; neural mechanisms; neuro-musculo-skeletal system; Biological neural networks; Biological system modeling; Biology computing; Board of Directors; Computer networks; Gravity; Muscles; Nervous system; Neurophysiology; Neuroscience;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268540
Filename
268540
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