Learning From Biological Systems: Modeling Neural Control
Department
neurobiology
Document Type
Article
Abstract
A modular approach to modeling and investigating the neutral control of posture and movement is presented. The approach is demonstrated using two examples that illustrate how biological motor control tasks can be investigated in varying degrees of complexity and detail. One example shows that a model with detailed anatomical structure and dynamic properties has to be developed to investigate the detailed interactions among several sensory feedback loops in the spinal cord. The other example shows that when investigating whole-body behavior, a grosser structured model with lumped components is more tractable.
Publication Date
1-1-2001
Publication Title
IEEE Control Systems Magazine
ISSN
02721708
Volume
21
Issue
4
First Page
55
Last Page
69
Digital Object Identifier (DOI)
10.1109/37.939944
Recommended Citation
He, Jiping; Maltenfort, Mitchell G.; Wang, Qingjun; and Hamm, Thomas M., "Learning From Biological Systems: Modeling Neural Control" (2001). Translational Neuroscience. 87.
https://scholar.barrowneuro.org/neurobiology/87