Energy landscape analysis based on the Ising model: Tutorial review

Autor:	Masuda, Naoki, Islam, Saiful, Aung, Si Thu, Watanabe, Takamitsu
Rok vydání:	2024
Předmět:	Condensed Matter - Disordered Systems and Neural Networks
Druh dokumentu:	Working Paper
Popis:	We review a class of energy landscape analysis method that uses the Ising model and takes multivariate time series data as input. The method allows one to capture dynamics of the data as trajectories of a ball from one basin to a different basin to yet another, constrained on the energy landscape specified by the estimated Ising model. While this energy landscape analysis has mostly been applied to functional magnetic resonance imaging (fMRI) data from the brain for historical reasons, there are emerging applications outside fMRI data and neuroscience. To inform such applications in various research fields, this review paper provides a detailed tutorial on each step of the analysis, terminologies, concepts underlying the method, and validation, as well as recent developments of extended and related methods. Comment: 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2411.16979 Zobrazit plný text záznamu View this record from Arxiv