Zippi_Shvartsman_et_al_2023_bmi_manual_files

<b>Included files:</b>Each file includes LFP (local field potential) data for both animals (‘h’, ‘y’) during a particular type of task control (‘bmi’ or ‘manual’) and time-locked to 500ms before or after a particular event in the task (‘go_cue’ or ‘target’) for each rewarded trial in each day of the task (‘h’: [1-13], ‘y’: [1-22]).<b>File description:</b>Each file includes a Pandas DataFrame, saved as a .feather file. Data can be accessed using Python by calling:<i>import pandas as pd</i><i>pd.read_feather([file name])</i>Each DataFrame has the following columns:<b>control_type:</b> ‘bmi’, ‘manual’, or ‘baseline’<b>event:</b> go cue (‘go_cue’) or target acquisition (‘target’)<b>subj:</b> which animal, ‘h’ or ‘y’<b>day:</b> which day of the session, ‘h’: [1-13], ‘y’: [1-22]<b>roi: </b>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 decoder<b>ch:</b> electrode channel number, only low-noise channels were included (see Methods for details)<b>n_rewarded_trial:</b> which trial number data segment is from, only successfully completed (rewarded) trials are included<b>time_from_window_ms</b>: go_cue: 0-500ms from go cue, for target: -500-0ms from target acquisition<b>lfp: </b>local field potential value (see Methods for details)