Date of Degree
PhD (Doctor of Philosophy)
Applied Mathematical and Computational Sciences
First Committee Member
Second Committee Member
Third Committee Member
Fourth Committee Member
Fifth Committee Member
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).
Copyright 2016 Joseph Paul Ambrose
Ambrose, Joseph Paul. "Dynamic field theory applied to fMRI signal analysis." PhD (Doctor of Philosophy) thesis, University of Iowa, 2016.