Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia

Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia

Bibliographic Details
Main Author: Louh, Hsing-Duan
Language:English
Published: Case Western Reserve University School of Graduate Studies / OhioLINK 2020
Subjects:
Applied Mathematics
Aplysia californica
computational neural science
dynamical systems
computer simulation
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=case159558630128468
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-case1595586301284682021-08-03T07:15:53Z Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia Louh, Hsing-Duan Applied Mathematics Aplysia californica computational neural science dynamical systems computer simulation An animal's survival depends on its ability to adapt to a constantly shifting environment. Mathematical models of rhythmic motor patterns typically incorporate a central pattern generator (CPG) circuit, driving motor output in the body. In this thesis, we study Shaw and Lyttle's model for the feeding system of the marine mollusk Aplysia californica, which eats seaweed. The CPG has a heteroclinic channel architecture with three metastable fixed points. Using mean rate of seaweed ingestion as an objective function, we studied the system's sensitivity to parameters representing (i) the force with which seaweed opposes swallowing, and (ii) threshold and weighting parameters controlling when the feeding apparatus (grasper) opens or closes on the seaweed. We found eight motor "strategies," corresponding to whether the grasper was open or closed near each of the CPG's fixed points. In addition, we studied how rhythmic movements break down when challenged by excessively large resisting forces. 2020-09-07 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case159558630128468 http://rave.ohiolink.edu/etdc/view?acc_num=case159558630128468 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Applied Mathematics
Aplysia californica
computational neural science
dynamical systems
computer simulation
spellingShingle Applied Mathematics
Aplysia californica
computational neural science
dynamical systems
computer simulation
Louh, Hsing-Duan
Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
author Louh, Hsing-Duan
author_facet Louh, Hsing-Duan
author_sort Louh, Hsing-Duan
title Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
title_short Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
title_full Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
title_fullStr Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
title_full_unstemmed Parametric Sensitivity in a Model of a Motor Pattern Generator in Aplysia
title_sort parametric sensitivity in a model of a motor pattern generator in aplysia
publisher Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=case159558630128468
work_keys_str_mv AT louhhsingduan parametricsensitivityinamodelofamotorpatterngeneratorinaplysia
_version_ 1719457395947601920

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