Feature-space selection with banded ridge regression

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...

Full description

Bibliographic Details
Main Authors: Tom Dupré la Tour, Michael Eickenberg, Anwar O. Nunez-Elizalde, Jack L. Gallant
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:NeuroImage
Subjects:
Neuroimaging
Encoding models
Regularized regression
Variance decomposition
Group sparsity
Hyperparameter optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922008497

Internet

http://www.sciencedirect.com/science/article/pii/S1053811922008497

Similar Items