Lucy Owen

ipyvolume visualization (static timecorr visualization)

2

Create a 3D correlation matrix (feature x feature x volume) and change the opacity to increase with stronger (absolute value) correlations. If the features are voxels, you can arrange them...

consistent params for timecorr

2

For some parameters (rfun) you pass a string, but for other paramters (cfun, combine, weights_fun, etc.) you pass a function. Should we discuss this?

Use time steps (in dataframes) instead of numpy arrays. index argument that can pass a dataframe (inferred or explicitly specified which would override) or a numpy array with index (if...

support np.ndarray for corrmean_combine and mean_combine

1

only supports list right now

We need to pin specific versions for pandas >= 1.1.0,

Issue with downsampling nifti images. This fixed it: `from nilearn.image import resample_img` `downsampled_nii = resample_img(yeo, target_affine=np.eye(3)*4., interpolation='nearest')`

Add a new `event` feature. This would be implemented similar to `session` variable and would serve as a tag/label for tagging event onsets, behavioral and experimental events . Also add...

- for each channel calculate kurtosis using a sliding window - plot kurtosis values - try this in ipyvolume

for next release, change nifti get_slice method to something like this: `def get_slice(self, index):` ` if len(self.shape)>3:` ` if self.shape[3]==1:` ` return nib.Nifti1Image(header=self.header, dataobj=np.squeeze(self.get_data()), affine=self.affine)`