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Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype

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Create a new pipeline running reconall + bem

see for example: https://github.com/mne-tools/mne-bids/blob/master/CONTRIBUTING.md

We use pandas in [prepare_data](https://github.com/neuropycon/ephypype/blob/master/ephypype/prepare/prepare_data.py) and in [_split_txt](https://github.com/neuropycon/ephypype/blob/428f67448048b8f036486b21e9a2212934374fab/ephypype/import_data.py#L295). It seems the function [format_electrodes_xls](https://github.com/neuropycon/ephypype/blob/master/ephypype/prepare/prepare_data.py) is not used. @davidmeunier79 can we remove it? On the other side [_split_txt](https://github.com/neuropycon/ephypype/blob/428f67448048b8f036486b21e9a2212934374fab/ephypype/import_data.py#L295) is used by [ImportBrainVisionAscii](https://github.com/neuropycon/ephypype/blob/428f67448048b8f036486b21e9a2212934374fab/ephypype/nodes/import_data.py#L175)....

Add verbose parameter to the functions in order to avoid the print

MAINT

right now, the code coverage is around 23%. We should aim for 80% ...

MAINT

Add the possibility to choose the condition and specify the channel to pick

Look at this MNE function in order to perform the co-registration in an automatic way https://github.com/mne-tools/mne-python/blob/master/mne/coreg.py#L81

Up to now the example pipelines use one sbj of the OMEGA dataset. Would it be better to use the sample dataset of MNE?

MAINT