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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...
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| izdano v: | Front Neurosci |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2017
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5635061/ https://ncbi.nlm.nih.gov/pubmed/29056897 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00550 |
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