11 citations · 11 across the 1 of their papers we have counts for
2 papers
stat.AP2014★ 11 cited
The shuffle estimator for explainable variance in fMRI experiments
Yuval Benjamini, Bin Yu
In computational neuroscience, it is important to estimate well the proportion of signal variance in the total variance of neural activity measurements. This explainable variance m…
stat.AP2011
Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models
Vincent Q. Vu, Pradeep Ravikumar, Thomas Naselaris +3
Functional MRI (fMRI) has become the most common method for investigating the human brain. However, fMRI data present some complications for statistical analysis and modeling. One…