DocumentCode :
285274
Title :
A neural network model for spino-muscular generation of launching and braking forces by opponent muscles
Author :
Bullock, Daniel ; Contreras-Vidal, José L. ; Grossberg, Stephen
Author_Institution :
Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA
Volume :
3
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
450
Abstract :
The authors (1991) previously reported results on a mathematical model of the spinal circuitry known to be involved in controlling the balance of forces generated by muscles pulling from opposite sides of rotary joints in higher vertebrates. The model´s neural connectivity is described. The model, known by the acronym FLETE, encapsulates the hypothesis that the spinal circuitry evolved to allow factorization or independent control of muscle length and muscle tension. The FLETE model revealed that such independent control requires specialized interneuronal circuitry to efficiently coordinate the opponent force generators. That analysis is extended to incorporate neuronal circuitry that ensures efficient opponent force generation and velocity regulation during movement
Keywords :
biocontrol; biomechanics; muscle; neural nets; physiological models; FLETE; biocontrol; muscle length; muscle tension; neural connectivity; neural network model; opponent force generation; physiological models; spino-muscular force generation; velocity regulation; Biological control systems; Biological system modeling; Centralized control; Circuits; Electronic mail; Force control; Force feedback; Joints; Muscles; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.227133
Filename :
227133
Link To Document :
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