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Feature-space selection with banded ridge regression
Encoding models provide a powerful framework to identify the information represented in brain recordings. In this framework, a stimulus representation is expressed within a feature space and is used in a regularized linear regression to predict brain activity. To account for a potential complementar...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807218/ https://www.ncbi.nlm.nih.gov/pubmed/36334814 http://dx.doi.org/10.1016/j.neuroimage.2022.119728 |