Document Type


Date of Degree

Summer 2016

Degree Name

PhD (Doctor of Philosophy)

Degree In

Applied Mathematical and Computational Sciences

First Advisor

Rodica Curtu

Second Advisor

John Spencer

First Committee Member

John Spencer

Second Committee Member

Palle Jorgensen

Third Committee Member

Colleen Mitchell

Fourth Committee Member

Michelle Voss

Fifth Committee Member

Rodica Curtu


In the field of cognitive neuroscience, there is a need for theory-based approaches to fMRI data analysis. The dynamic neural field model-based approach has been developing to meet this demand. This dissertation describes my contributions to this approach. The methods and tools were demonstrated through a case study experiment on response selection and inhibition. The experiment was analyzed via both the standard behavioral approach and the new model-based method, and the two methods were compared head to head. The methods were quantitatively comparable at the individual-level of the analysis. At the group level, the model-based method reveals distinct functional networks localized in the brain. This validates the dynamic neural field model-based approach in general as well as my recent contributions.


viii, 90 pages


Includes bibliographical references (pages 87-90).


This material is based upon work supported by the National Science Foundation under Grant Number HSD-0527698 and Grant Number BCS-1029082.


Copyright 2016 Joseph Paul Ambrose