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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233242/ https://www.ncbi.nlm.nih.gov/pubmed/32935193 http://dx.doi.org/10.1007/s12021-020-09489-1 |