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UBC Theses and Dissertations
Computational model of a behaviour in c. elegans and a resulting framework for modularizing dynamical neuronal structures Roehrig, Chris J.
Abstract
The work presented in this dissertation grew out of a study of a physiologically based computational model of the tap withdrawal response in the nematode Caenorhabditis elegans. A computational model using all available anatomical and physiological data was unable to explain a dynamic property of the circuit: the ability of the behaviour to continue after the termination of the stimulus. To account for this behavioural observation, a novel approach was taken: a neuronal circuit was engineered from a set of modules each consisting of several physiologically realistic model cells. The mathematical dynamics of the resulting neuronal circuit produced an output that was similar to the behaviour observed in the intact worm and shows that neuronal network dynamics could account for the behaviour. In the course of this study, it became clear that little is known about the modular properties of neuronal dynamics. This dissertation presents an approach for combining non-linear neuronal circuits into larger systems using dynamical modules (dymods), and a set of tools for studying dymods, and discusses a research strategy for studying the modular properties of neuronal dynamics.
Item Metadata
Title |
Computational model of a behaviour in c. elegans and a resulting framework for modularizing dynamical neuronal structures
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1998
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Description |
The work presented in this dissertation grew out of a study of a physiologically
based computational model of the tap withdrawal response in the nematode Caenorhabditis
elegans. A computational model using all available anatomical and
physiological data was unable to explain a dynamic property of the circuit: the
ability of the behaviour to continue after the termination of the stimulus. To account
for this behavioural observation, a novel approach was taken: a neuronal circuit was
engineered from a set of modules each consisting of several physiologically realistic
model cells. The mathematical dynamics of the resulting neuronal circuit produced
an output that was similar to the behaviour observed in the intact worm and shows
that neuronal network dynamics could account for the behaviour.
In the course of this study, it became clear that little is known about the modular
properties of neuronal dynamics. This dissertation presents an approach for
combining non-linear neuronal circuits into larger systems using dynamical modules
(dymods), and a set of tools for studying dymods, and discusses a research
strategy for studying the modular properties of neuronal dynamics.
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Extent |
8086466 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-06-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0099377
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1998-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.