Page 1 |
Save page Remove page | Previous | 1 of 320 | Next |
|
small (250x250 max)
medium (500x500 max)
large ( > 500x500)
Full Resolution
All (PDF)
|
This page
All
Subset |
INVESTIGATING THE ROLE OF MUSCLE PHYSIOLOGY AND SPINAL
CIRCUITRY IN SENSORIMOTOR CONTROL
by
George A. Tsianos
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(BIOMEDICAL ENGINEERING)
December 2012
Copyright 2012 George A. Tsianos
Object Description
| Title | Investigating the role of muscle physiology and spinal circuitry in sensorimotor control |
| Author | Tsianos, George A. |
| Author email | tsianos@usc.edu;george.a.tsianos@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Biomedical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2012-09-04 |
| Date submitted | 2012-10-10 |
| Date approved | 2012-10-10 |
| Restricted until | 2012-10-10 |
| Date published | 2012-10-10 |
| Advisor (committee chair) | Loeb, Gerald E. |
| Advisor (committee member) |
Sanger, Terence Schaal, Stefan Marmarelis, Vasilis Valero-Cuevas, Francisco |
| Abstract | Making voluntary movements requires proper recruitment of muscles that exert torques at the joints. The brain controls these torques indirectly by sending commands to the spinal circuitry, which continuously integrates them with proprioceptive feedback and recurrent projections from motoneurons. The nature of this transformation and its implications for motor control have been investigated by building a realistic model of the lower motor system (spinal circuitry plus musculoskeletal system) and determining how much of the dynamics of reaching movement it can generate entirely on its own. ❧ An oversimplified model of the brain was employed in order to force the lower motor system to generate all of the necessary dynamics. Its outputs, representing supraspinal control of fusimotor gain, interneuronal biasing activity and presynaptic inhibition/facilitation, controlled a realistic set of spinal circuits based on the classical interneuronal types (propriospinal, monosynaptic Ia-excitatory, reciprocal Ia-inhibitory, Renshaw inhibitory and Ib-inhibitory pathways). Commands to the spinal circuitry were unmodulated step functions whose amplitudes were trained using a simple optimization algorithm and a cost function. ❧ Despite the large number of control points in the spinal cord model (greater than 400 for our six-muscle model) and the oversimplified descending inputs, it was surprisingly easy to train the system to perform motor tasks such as resisting an impulsive perturbation applied to the endpoint and center-out reaches to multiple directions along with the complex muscle dynamics required to achieve them. This is because the high-dimensional space to be controlled appears to have many ""good enough"" solutions and relatively few undesirable local minima. Initially, energetics were not part of the performance criteria; nevertheless, the emerging strategies of muscle recruitment in those solutions were often metabolically efficient. Incorporating energetics into the cost function further improved the efficiency while maintaining acceptable kinematic behavior. ❧ It was also shown that solutions to new tasks (e.g. having untrained durations directions and distances) can be interpolated from solutions to tasks learned previously. Such generalization of solutions improves the rate of learning in many situations and also reduces the storage capacity required for the brain to memorize motor repertoires. ❧ These results suggest that the genetically specified circuitry of the spinal cord may have evolved to permit rapid and reliable solutions to new sensorimotor problems and that it tends to facilitate solutions with low energetic cost. These properties of spinal circuitry must be considered when assigning functionality to the motor control centers of the brain. |
| Keyword | motor control; motor memory; muscle; reaching; spinal circuitry |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Rights | Tsianos, George A. |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume4/etd-TsianosGeo-1242.pdf |
Description
| Title | Page 1 |
| Full text | INVESTIGATING THE ROLE OF MUSCLE PHYSIOLOGY AND SPINAL CIRCUITRY IN SENSORIMOTOR CONTROL by George A. Tsianos A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (BIOMEDICAL ENGINEERING) December 2012 Copyright 2012 George A. Tsianos |
Comments
Post a Comment for Page 1

