Steinmetz Neuroscience Experiment Dataset

Used in the Matlab and Python Neural Data Analysis Courses

Data from Publication: Steinmetz, N.A., Zatka-Haas, P., Carandini, M. et al. Distributed coding of choice, action and engagement across the mouse brain. Nature 576, 266–273 (2019). https://doi.org/10.1038/s41586-019-1787-x

Download Data

Run the jupyter notebook Run Pipeline.ipynb to download the data from the official sources.

In case the official raw data is deleted, we have a backup on Sciebo: https://uni-bonn.sciebo.de/apps/files/?dir=/steinmetz_neuromatch_dataset&fileid=2493828995

Variable Explanation

• 'mouse': mouse name.
• 'session_date': when a session was performed.
• 'session_id': unique id for a session.
• 'stim_onset': when the stimulus appeared on the screen.
• 'contrast_right': contrast level for the right stimulus, which is always contralateral to the recorded brain areas.
• 'contrast_left': contrast level for left stimulus.
• 'gocue_time': when the go cue sound was played.
• 'response_time': when the response was registered, which has to be after the go cue.
• 'response_type': which side the response was (-1, 0, 1). When the right-side stimulus had higher contrast, the correct choice was -1. 0 is a no go response.
• 'reaction_type': direction of the wheel movement.
• 'reaction_time': reaction time computed from the wheel movement.
• 'feedback_type': if the feedback was positive (+1, reward) or negative (-1, white noise burst).
• 'feedback_time': when feedback was provided.
• 'active_trials': True for active trials and False for passive trials (i.e. when the mouse was no longer engaged and stopped making responses).