Zippi_Shvartsman_et_al_2023

Dataset for “Distinct neural representations during a brain-machine interface and manual reaching task in motor cortex, prefrontal cortex, and striatum”, authored by Ellen Zippi, Gabrielle Shvartsman, Nuria Vendrell Llopis, Joni Wallis, and Jose Carmena

Dataset purpose:

This dataset was analyzed to understand how the motor cortex, prefrontal cortex, and striatum behave in macaques during a brain machine interface reaching task vs during a manual reaching task.

Included items:

• Zippi_Shvartsman_et_al_2023_bmi_manual_files: 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]).
• Zippi_Shvartsman_et_al_2023_baseline_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.