Statistics of Extremes for Neuroscience
Fuente:
arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911839067045888 |
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| author | Redondo, Paolo V. Guerrero, Matheus B. Huser, Raphaël Ombao, Hernando |
| author_facet | Redondo, Paolo V. Guerrero, Matheus B. Huser, Raphaël Ombao, Hernando |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_09157 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Statistics of Extremes for Neuroscience Redondo, Paolo V. Guerrero, Matheus B. Huser, Raphaël Ombao, Hernando Applications Methodology 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. |
| title | Statistics of Extremes for Neuroscience |
| topic | Applications Methodology |
| url | https://arxiv.org/abs/2404.09157 |