Cargando…
An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In this study, we compared multiple model explan...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584975/ https://www.ncbi.nlm.nih.gov/pubmed/37853010 http://dx.doi.org/10.1038/s41598-023-43871-8 |