One of the advantages of biological skeleto-motor systems is the opponent muscle design, which in principle makes it possible to achieve facile independent control of joint angle and joint stiffness. Prior analysis of equilibrium states of a biologicaüy-based opponent neural muscle controller, the FLETE model, revealed that such independent control requires specialized interneuronal circuitry to efficiently coordinate the opponent force generators. In this paper, we extend that analysis to incorporate neuronal circuitry that ensures efficient opponent force generation and velocity regulation during movement.
|Title of host publication
|Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 1992
|1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: Jun 7 1992 → Jun 11 1992
|Proceedings of the International Joint Conference on Neural Networks
|1992 International Joint Conference on Neural Networks, IJCNN 1992
|6/7/92 → 6/11/92
ASJC Scopus subject areas
- Artificial Intelligence