Thomas S. Binns
Thomas S. Binns
### Proposed documentation enhancement [`CSP`](https://mne.tools/stable/generated/mne.decoding.CSP.html) and [`SPoC`](https://mne.tools/stable/generated/mne.decoding.SPoC.html) classes of the `decoding` module both have a [`fit`](https://mne.tools/stable/generated/mne.decoding.CSP.html#mne.decoding.CSP.fit), [`transform`](https://mne.tools/stable/generated/mne.decoding.CSP.html#mne.decoding.CSP.transform), and [`fit_transform`](https://mne.tools/stable/generated/mne.decoding.CSP.html#mne.decoding.CSP.fit_transform) method, which require passing in 3D data of shape `(n_epochs, n_channels,...
WIP follow up of #225 to finalise GSoC work. So far adds support for coefficients from `Epochs.compute_tfr(method="morlet", output="complex")` to `spectral_connectivity_epochs()`, equivalent to the `cwt_morlet` mode. Still to be done is...
Follows from the changes in #220, so the diff will be quite smaller when that's merged. In brief, adds a new function `make_surrogate_connectivity` in the `datasets` module (felt this was...
So far still has 0.6 info
Not a direct continuation of GSoC work, but was discussed in this time with @wmvanvliet & @larsoner. Two things were discussed: 1) how plotting of components for multivariate methods should...
Discussed in call with @wmvanvliet & @larsoner. Most likely I would not be able to address this until ~November. Part of the GSoC project was to add tools for generating...
### Describe the new feature or enhancement Discussed partly with @larsoner. MNE-Connectivity is being updated to allow connectivity computations using complex coefficients stored in `EpochsTFR` objects (https://github.com/mne-tools/mne-connectivity/pull/232). For the multitaper...
Discussed with @larsoner. When plotting multiple figures from the same cell, the figures are placed in the html as `sphx-glr-multi-img` images in a `sphx-glr-horizontal` list. Although each figure is stored...
Fixes #285. `_tfr_from_mt` now supports ndarray after https://github.com/mne-tools/mne-python/pull/13104. Means we can avoid looping over epochs dimensions when passing in data. Also fixes a bug from #232 where `_tfr_from_mt` would be...
Currently `_tfr_from_mt` does not support an epochs dim, so there is overhead in looping over each epoch to pass to the function. https://github.com/mne-tools/mne-python/pull/13104 makes the func compatible with n-dimensional arrays....