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Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate Setting
In certain modeling approaches, activation analyses of task-based fMRI data can involve a relatively large number of predictors. For example, in the encoding model approach, complex stimuli are represented in a high-dimensional feature space, resulting in design matrices with many predictors. Simila...
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| Publicado no: | Neuroinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8233242/ https://ncbi.nlm.nih.gov/pubmed/32935193 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-020-09489-1 |
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