.NPY
F.npy (2.15 GB)
.NPY
Fneu.npy (2.15 GB)
.NPY
iframe.npy (119.52 kB)
.NPY
iscell.npy (293.8 kB)
.NPY
mov.npy (100.74 MB)
.NPY
ops.npy (397.64 MB)
.NPY
spks.npy (2.15 GB)
.NPY
stat.npy (39.63 MB)
VIDEO
cam1_TX39_20hz.avi (16.72 MB)
.NPY
cam1_TX39_2019_05_31_1_proc_resampled.npy (254.14 MB)
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Recording of 19,000 neurons across mouse visual cortex during sparse noise stimuli
dataset
posted on 2019-08-12, 11:33 authored by Carsen StringerCarsen Stringer, Michalis Michaelos, Marius PachitariuMarius PachitariuThis repository contains the activity of 18,975 neurons across visual cortex during the presentation of sparse noise visual stimuli.
The deconvolved data is in the "spks.npy". "F.npy", "Fneu.npy", "stat.npy" and "ops.npy" are documented on the suite2p page: https://github.com/MouseLand/suite2p/wiki/Outputs
The frames of the sparse noise stimuli are in "mov.npy". The frame times are in "iframe.npy".
The behavioral data (already aligned to the neural frames) is in "cam1_TX39_2019_05_31_1_proc_resampled.npy". A subsampled subset of frames is in "cam1_TX39_20hz.avi".
For an example of how to load the data, align it to the image stimuli, compute receptive fields and predict from behavior, see this notebook: https://github.com/MouseLand/rastermap/blob/master/tutorial/tutorial.ipynb
