M/EEG data analysis typically involves three types of data containers coded in MNE-Python as Raw, Epochs, and Evoked objects. The raw data comes straight out of the acquisition system; these can be segmented into pieces often called epochs or trials, which generally correspond to segments of data after each repetition of a stimulus; these segments can be averaged to form evoked data. MNE-Python is designed to reproduce this standard operating procedure by offering convenient objects that facilitate data transformation.
