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:
	▪	tabular_data.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.py: 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 all figure*.ipynb files.
	2.	Ensure that python version 3.8.3, and all modules in requirements.txt are installed. 
	3.	Unzip data.zip and utils.zip.
	4.	Place the unzipped data, utils, and figures folders, as well as all figure*.ipynb in the same directory.
	5.	Execute each figure*.ipynb (or supp_figure*.ipynb) in Jupyterlab (or other suitable environment) to regenerate the panels in each figure.