Closed Jay4869 closed 8 years ago
To improve signal-to-noise, remove baseline, possible sources of spurious correlations, and task structure: spatial smoothing using a gaussian kernel with three voxels
Here are useful link to do kernel smoothing in python and CV choosing brandwidth: http://scikit-learn.org/stable/modules/density.html#kernel-density-estimation
https://jakevdp.github.io/blog/2013/12/01/kernel-density-estimation/
It is already implement in the linear regression
To improve signal-to-noise, remove baseline, possible sources of spurious correlations, and task structure: spatial smoothing using a gaussian kernel with three voxels
Here are useful link to do kernel smoothing in python and CV choosing brandwidth: http://scikit-learn.org/stable/modules/density.html#kernel-density-estimation
https://jakevdp.github.io/blog/2013/12/01/kernel-density-estimation/