Statistics of Extremes for Neuroscience
Applications
2024-04-16 v1 Methodology
Abstract
This chapter illustrates how tools from univariate and multivariate statistics of extremes can complement classical methods used to study brain signals and enhance the understanding of brain activity and connectivity during specific cognitive tasks or abnormal episodes, such as an epileptic seizure.
Keywords
Cite
@article{arxiv.2404.09157,
title = {Statistics of Extremes for Neuroscience},
author = {Paolo V. Redondo and Matheus B. Guerrero and Raphaël Huser and Hernando Ombao},
journal= {arXiv preprint arXiv:2404.09157},
year = {2024}
}