Abstract
Energy properties of attractors in individualized non-linear dynamic systems brain models were analyzed. Namely, the minimum energy cost required to reach fixed points from the origin was found and compared between models. The purpose of this project was to determine energy cost variability within and between patients, and to explore potential correlations between energy costs and phenotypic variation such as task performance. If useful correlations are found, this framework can be used for the design of individualized neurostimulation strategies.
Document Type
Article
Class Name
Electrical and Systems Engineering Undergraduate Research
Language
English (en)
Date of Submission
4-21-2026
Recommended Citation
Devere, Jaden; Tamekue, Cyprien; Chen, Ruiqi; Yu, Zongxi; and Ching, ShiNung, "Fixed Point Energy Analysis of Individualized Brain Models for Electrostimulation" (2026). Electrical and Systems Engineering Undergraduate and Graduate Research. 57.
https://openscholarship.wustl.edu/eseundergraduate_research/57