DOI
https://doi.org/10.25772/w4v7-7n74
Defense Date
2026
Document Type
Thesis
Degree Name
Master of Science
Department
Biomedical Engineering
First Advisor
Dean Krusienski
Second Advisor
Cheng Ly
Third Advisor
Carrie Peterson
Abstract
Understanding how brain dynamics support successful memory formation remains a central challenge in neuroscience. This dissertation applies tools from empirical dynamical systems theory to investigate the neural mechanisms underlying episodic encoding, with a focus on cortico-hippocampal interactions. Using stereoelectroencephalography (sEEG) data recorded during a delayed free recall of word lists task, this work reveals nonlinear, state-dependent shifts in directed information flow between cortex and hippocampus that distinguish successful from unsuccessful encoding. To further characterize these dynamics, state-space trajectories are reconstructed using time-delay embedding and recurrence-based methods, and features derived from these trajectories are used to classify memory outcomes. By integrating nonlinear causal inference with dynamical systems analysis, this research offers new insights into the evolving structure of neural interactions that support human memory.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
8-10-2026