It can be used to assess the specificity of several brain regions for certain cognitive or perceptual functions, by evaluating the accuracy of the prediction of ...

Feb 5, 2011 · To cope with the high dimensionality of the data, the learning method has to be regularized. However, the spatial structure of the image is not ...

Dec 5, 2024 · ... The total variation (TV) regularization incorporates an l 1norm regularization term into the optimization function (25). In the fields of ...

This article applies for the first time this method to fMRI data, and shows that TV regularization is well suited to the purpose of brain mapping while ...

We show on real fMRI data that this method yields more accurate predictions in inter-subject analysis compared to voxel-based reference methods, such as ...

We apply for the first time this method to fMRI data, and show that TV regularization is well suited to the purpose of brain mapping while being a powerful tool ...

【要点】：本文提出利用总变分（TV）正则化方法对fMRI数据进行行为预测，提高了特征的可解释性并增强了脑解码能力。

As it outlines brain regions that convey information for an accurate prediction of the parameter of interest, it allows to understand how the corresponding ...

Total Variation regularization enhances regression-based brain activity prediction. V Michel, A Gramfort, G Varoquaux, B Thirion. 2010 First Workshop on Brain ...

We show on real fMRI data that this method yields more accurate predictions in inter-subject analysis compared to voxel-based reference methods, such as Elastic ...