101 citations · 225 across the 7 of their papers we have counts for
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stat.AP2022★ 29 cited
The risk of bias in denoising methods
Kendrick Kay
Experimental datasets are growing rapidly in size, scope, and detail, but the value of these datasets is limited by unwanted measurement noise. It is therefore tempting to apply an…
stat.AP2011★ 39 cited
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…