Recording of 19,000 neurons across mouse visual cortex during sparse noise stimuli

This 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/OutputsThe 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

本仓库收录了在稀疏噪声视觉刺激呈现过程中，视觉皮层中18,975个神经元的活动数据。去卷积后的数据存储于“spks.npy”文件中。'F.npy'、'Fneu.npy'、'stat.npy'以及'ops.npy'文件在suite2p页面上有所记载：https://github.com/MouseLand/suite2p/wiki/Outputs。稀疏噪声刺激的帧存储于“mov.npy”文件中，帧时间存储于“iframe.npy”文件中。行为数据（已与神经元帧对齐）位于“cam1_TX39_2019_05_31_1_proc_resampled.npy”文件中。帧的子采样集存储于“cam1_TX39_20hz.avi”文件中。关于如何加载数据、将其与图像刺激对齐、计算感受野以及基于行为进行预测的示例，请参阅此笔记本：https://github.com/MouseLand/rastermap/blob/master/tutorial/tutorial.ipynb