Author
Bugrov, Sergei
Other Contributors
Sun, Ron; Sims, Christopher; Walf, Alicia; Hélie, Sebastien;
Date Issued
2023-08
Subject
Cognitive science
Degree
PhD;
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute (RPI), Troy, NY. Copyright of original work retained by author.;
Abstract
Cognitive control has long been a central problem of neuroscience. Recent experimental findings suggest that several subcortical regions are implicated in mediating brain function which is a significant shift from the cortico-centric paradigm. One of them, the mediodorsal thalamic nucleus, has been shown to influence prefrontal function. Yet, understanding of the function performed by this thalamocortical circuit and its place in the cognitive control system is limited and requires further investigation. A neural network model of mediodorsal-prefrontal function is used in a series of computational experiments to investigate the link between the topological properties of the brain connectivity and the function of the mediodorsal thalamus. The results of the present research are twofold. It began by further developing network theory methodology utilizing artificial neural networks. Accordingly, the encoding of the functional content of a brain region is facilitated by the connectivity and neurochemical properties of its neurons. Second, this methodology is used in the in silico investigation of recent phenomena related to the function of the mediodorsal thalamus. Computational modeling suggests that the function of the mediodorsal thalamus is primarily associated with the neuromodulatory properties of its efferent projections. Furthermore, computational experiments show how this function contributes to cognitive flexibility. Additionally, computational experiments suggest a link between suppression in the activity of the mediodorsal thalamus and disruption of prefrontal activity, one of the most common symptoms of schizophrenia.;
Description
August2023; School of Humanities, Arts, and Social Sciences
Department
Dept. of Cognitive Science;
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection;
Access
Users may download and share copies with attribution in accordance with a Creative Commons
Attribution-Noncommercial-No Derivative Works 3.0 license. No commercial use or derivatives
are permitted without the explicit approval of the author.;