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...

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Detalles Bibliográficos
Autores principales: Alvarez-Meza, Andres M., Orozco-Gutierrez, Alvaro, Castellanos-Dominguez, German
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
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

Internet

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

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