Linear control model of the spinal processing of descending neural signals

This thesis develops a physiological-control model of the spinal processing of descending neural kinematic motor control signals in the bullfrog (Rana Catesbeiana). The model encompasses the full nonlinear skeletal dynamics of the femur/tibiofibula/tarsus system in the horizontal plane, its muscles, and spinal monosynaptic stretch reflexes. In addition, it incorporates recent findings of muscle synergies encoded within the spinal cord and demonstrates that these muscle synergies can be reorganized into a set of Kinematic Control Synergies (KCS), which have simple, orthogonal kinematic functions. Activating these KCS with simple pulse-like signals allows for the formation of a wide range of behaviors. It is hypothesized that such signals might come from higher-level Central Nervous System (CNS) structures such as the brainstem or cerebellum. Furthermore, KCS present a simple mechanism whereby sensory information could be used by spinal interneurons to recruit the muscle groups required to correct limb movement in real-time, or to learn the correct combination of muscle groups required to perform a movement correctly. Lastly, the experimental findings of convergent, position-invariant ankle force fields observed in the frog are discussed in light of the muscle synergies encoded within the spinal cord and KCS. It is concluded that the control of ankle movement using linear combinations of KCS-derived ankle force fields, may be equivalent to movement control via linear combinations of convergent, position-invariant ankle force fields. Further research, however, is required to concretely establish their equivalence.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2003

Author dc:creator

• Cajigas González, Iahn, 1980-

Advisor dc:contributor.advisor

• Steve G. Massaquoi.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28476

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28476