Distributed coding of choice, action, and engagement across the mouse brain

Data from "Distributed coding of choice, action, and engagement across the mouse brain" by Nicholas A. Steinmetz, Peter Zatka-Haas, Matteo Carandini, Kenneth D. Harris, Nature 2019.<br>Vision, choice, action, and behavioral engagement arise from neuronal activity that may be distributed across brain regions. Here we delineate the spatial distribution of neurons underlying these processes. We used Neuropixels probes to record from ~30,000 neurons in 42 brain regions of mice performing a visual discrimination task. Neurons in nearly all regions responded non-specifically when the mouse initiated an 5 action. By contrast, neurons encoding visual stimuli and upcoming choices occupied restricted regions in neocortex, basal ganglia, and midbrain. Choice signals were rare and emerged with indistinguishable timing across regions. Midbrain neurons were activated before contralateral choices and suppressed before ipsilateral choices, whereas forebrain neurons could prefer either side. Brain-wide pre-stimulus activity 10 predicted engagement in individual trials and in the overall task, with enhanced subcortical but suppressed neocortical activity during engagement. These results reveal organizing principles for the distribution of neurons encoding behaviorally relevant variables across the mouse brain.<br><br>[experimental] ONE interface<br><br>The data is available via the ONE interface.<br><br>Installation instructions here.<br><br><br>To search and download this dataset:<br><br><br>import onelight as one<br>sessions = one.search(['trials']) # search for all sessions that have a `trials` object<br>session = sessions[0] # take the first session<br>trials = one.load_object(session, 'trials') # load the trials object<br>print(trials.intervals) # trials is a Bunch, values are NumPy arrays or pandas DataFrames<br>print(trials.goCue_times)<br><br><br>