Learning From Biological Systems: Modeling Neural Control
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.
IEEE Control Systems Magazine
Digital Object Identifier (DOI)
He, Jiping; Maltenfort, Mitchell G.; Wang, Qingjun; and Hamm, Thomas M., "Learning From Biological Systems: Modeling Neural Control" (2001). Translational Neuroscience. 87.