4d651b16bab2d31b8d0d172a285406195a3845bf,plot_roi_extraction.py,,,#,65

Before Change


from nilearn.image import smooth_img
fmri_img = smooth_img(haxby_files.func[0], fwhm=6)
fmri_data = fmri_img.get_data()
plot_brain(fmri_data.mean(axis=-1), coronal, sagittal, axial,
           "Smoothed mean EPI")

// Run a T-test for face and houses

After Change


fmri_data = fmri_img.get_data()

// Plot the mean image
mean_img = image.mean_img(fmri_img)
plot_brain(mean_img.get_data(), coronal, sagittal, axial,
           "Smoothed mean EPI")

// Run a T-test for face and houses
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: nilearn/nilearn
Commit Name: 4d651b16bab2d31b8d0d172a285406195a3845bf
Time: 2014-04-22
Author: gael.varoquaux@normalesup.org
File Name: plot_roi_extraction.py
Class Name:
Method Name:


Project Name: nilearn/nilearn
Commit Name: 4d651b16bab2d31b8d0d172a285406195a3845bf
Time: 2014-04-22
Author: gael.varoquaux@normalesup.org
File Name: plot_haxby_searchlight.py
Class Name:
Method Name:


Project Name: nilearn/nilearn
Commit Name: 7335eee62edc8670266a8a7889dac1d19f072701
Time: 2013-12-06
Author: abraham.alexandre@gmail.com
File Name: plot_image_manipulation.py
Class Name:
Method Name: