Summary:
This document describes the contents and use of figure scripts and data for the 2021 Nature Communications publication entitled “In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations”. 

Contents:
	▪	SourceData.zip: A zipped directory containing excel files (figure*.xlsx and supp_figure*.xlsx) with tabular data for the corresponding figure/supplementary figure in the publication. Each sub-panel is assigned its own sheet, and units/axis labels are described in the row and column headings.
	▪	figures.zip: A zipped directory containing pdfs of each subpanel of each figure. These images are placed in separate subfolders corresponding to each figure.
	▪	scripts.zip: A zipped directory containing Jupyter notebooks (figure*.ipynb, and supp_figure*.ipynb) that may be used in conjunction with the data provided in data.zip and the helper routines provided in utils.zip to regenerate the main and supplementary figures.
	▪	data.zip: A zipped directory containing various numpy and pickle files (raw data) required to generate the figures. The data for each figure is placed in a separate subfolder.
	▪	utils.zip: Supporting python scripts required by the Jupyter notebooks in the figure*.ipynb files. 
	▪	requirements.txt: A text file listing the necessary python modules (pip-installable) required to run the jupyter notebook scripts in each figure*.ipynb.  

Usage:
To run the figure generation code provided:
	1.	Download data.zip, utils.zip, figures.zip, and SourceData.zip files. Unzip all in a convenient directory.
	2.	Ensure that python version 3.8.3, and all modules in requirements.txt are installed. 
	3.	Place the unzipped data, utils, and figures folders, as well as all figure*.ipynb in the same directory.
	4.	Execute each figure*.ipynb (or supp_figure*.ipynb) in Jupyterlab (or other suitable environment) to regenerate the panels in each figure.