Included files:Each file includes LFP (local field potential) data for both animals (‘h’, ‘y’) during rest periods for each day (‘baseline’) without any time-locking (500ms segments were randomly selected from baseline in our analyses). Separate baseline files are included for each animal.File description:Each file includes a Pandas DataFrame, saved as a .feather file. Data can be accessed using Python by calling:import pandas as pdpd.read_feather([file name])Each DataFrame has the following columns:control_type: ‘bmi’, ‘manual’, or ‘baseline’subj: which animal, ‘h’ or ‘y’day: which day of the session, ‘h’: [1-13], ‘y’: [1-22]roi: region of interest; ‘direct’, ‘dlpfc’, or ‘cd’ where ‘direct’ includes most channels from m1 each day but is specific to channels which had sufficient spiking to be used as input to the BMI decoderch: electrode channel number, only low-noise channels were included (see Methods for details)time_from_window_ms: represents every ms from start to end of the recorded rest periodlfp: local field potential value (see Methods for details)