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Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns
We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions to take advantage of the available joint informati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635061/ https://www.ncbi.nlm.nih.gov/pubmed/29056897 http://dx.doi.org/10.3389/fnins.2017.00550 |