Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

COMPUTATIONAL ANALYSIS OF PATTERN GENERATION IN REDUCED VERTEBRATE MOTOR CIRCUIT MODELS

Snyder, Abigail (2016) COMPUTATIONAL ANALYSIS OF PATTERN GENERATION IN REDUCED VERTEBRATE MOTOR CIRCUIT MODELS. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Download (24MB) | Preview

Abstract

Rhythmic behaviors such as breathing, walking, and scratching are vital to many species. Such behaviors can emerge from groups of neurons, called central pattern generators (CPGs), in the absence of rhythmic inputs. In vertebrates, the identification of the cells that consti- tute the CPG for particular rhythmic behaviors is difficult, and often, its existence has only been inferred. In the second and third chapters of this thesis, we use two reduced mathemat- ical models to investigate the capability of a proposed network to generate multiple scratch rhythms observed in turtles. Under experimental conditions, intact turtles generate sev- eral rhythmic scratch motor patterns corresponding to non-rhythmic stimulation of different body regions. These patterns feature alternating phases of motoneuron activation that occur repeatedly, with different patterns distinguished by the relative timing and duration of activ- ity of hip extensor, hip flexor, and knee extensor motoneurons. We show through simulation that the proposed network can achieve the desired multi-functionality, even though it relies on hip unit generators to recruit appropriately timed knee extensor motoneuron activity. We develop a phase space representation which we use to derive sufficient conditions for the network to realize each rhythm and which illustrates the role of a saddle-node bifurcation in achieving the knee extensor delay. This framework is harnessed to consider bistability and to make predictions about the responses of the scratch rhythms to input changes for future experimental testing. We also consider a stochastic spiking model to reproduce firing rate changes observed in experiment, explore the relative contributions of different parameters in the model to the observed changes, support our collaborators’ hypothesis regarding these changes, and provide our collaborators with predictions for future experiments. In the fourth chapter of this thesis, we present a theoretical study examining whether three mechanisms suggested by deletion experiments can operate in the same CPG for an extensor-flexor pair in the mammalian central nervous system during locomotion. We arrive at unique solution properties produced by each of the three mechanisms for use in future experiments. Our findings propose explanations for the coexistence of the three experimentally suggested yet seemingly contradictory mechanisms for rhythmogenesis.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Snyder, Abigailabigail.c.snyder@gmail.comACS73
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairRubin, Jonathanjonrubin@pitt.eduJONRUBIN
Committee MemberErmentrout, G. Bardbard@pitt.eduBARD
Committee MemberDoiron, Brentbdoiron@pitt.eduBDOIRON
Committee MemberWeber, Douglas J.dougweber@pitt.eduDJW50
Date: 3 October 2016
Date Type: Publication
Defense Date: 18 July 2016
Approval Date: 3 October 2016
Submission Date: 1 August 2016
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 156
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Mathematics
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: rhythmogensis, central pattern generators
Date Deposited: 03 Oct 2016 16:52
Last Modified: 15 Nov 2016 14:35
URI: http://d-scholarship.pitt.edu/id/eprint/29075

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item