.. ssvepy documentation master file, created by sphinx-quickstart on Fri Jun 2 16:25:09 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to ssvepy. ================== ``ssvepy`` is apackage to analyse MNE-formatted EEG data for steady-state visually evoked potentials, or other evoked frequencies (be it auditory, thermosensory, tactile or otherwise). Use ``ssvepy`` *after* you process your data with MNE-python. You want to get your data pre-processed and epoched, as the main ``ssvepy`` function accepts objects of the :class:`mne:mne.Epochs` class. .. toctree:: :maxdepth: 3 :caption: Contents: installation example.ipynb api Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`