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
Link To Document :
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