Eight-probe Neuropixels recordings during spontaneous behaviors

Eight-probe Neuropixels recordings in three mice of spontaneous activity. <div><br></div><div><div>Each "spks" is a structure of length 8, where each entry is a different probe (these probes were recorded simultaneously). It contains the spike times and the cluster identity of each spike.</div><div>load(fullfile(ephysroot, sprintf('spks%s_Feb18.mat' , mouse_name)));</div><div>spks(k).st = spike times (in seconds)<br></div><div><div>spks(k).clu = cluster identity of each spike in st (which neuron does spike belong to)</div><div>spks(k).Wheights = height of each cluster on the probe</div><div><br></div><div>Information about each probe's location is in "probeLocations.mat". The location of each site on the probe in microns in the Allen CCF framework is given in "ccfCoords". The brain area for each site is in "borders" as a function of the height of the site. To view the probe inside a wire-mesh brain, download and add to your path this toolbox: <a href="https://github.com/cortex-lab/allenCCF" target="_blank">https://github.com/cortex-lab/allenCCF</a> . You will also need to add to your path the npy-matlab toolbox: https://github.com/kwikteam/npy-matlab . </div><div><br></div><div>The behavioral file is the processed version of a mouse face movie (time x pixels x pixels). We processed it by taking the singular value decomposition of it.</div><div>beh = load(fullfile(ephysroot, sprintf('%s_face_proc.mat', mouse_name)));</div><div>beh.motionSVD = timepoints x components (left singular vectors * singular values)</div><div>beh.motionMask = pixels x pixels x components (right singular vectors)</div><div>beh.times = times of behavioral frames (in seconds) in same timeframe as spikes</div><div><br></div><div>See the "ephysLoad.m" script for how to load each into matlab and better understand the structures.</div></div></div>



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