Analysis code for Jiang et al. 2016
This repository contains the code for the simulation of the effect of slice cutting on the measured connection probability matrix as published by Jiang et al. 2015.
To run this code you need python (with numpy, scipy, and pandas) and datajoint.
We provide a Docker image with all dependencies installed under
atlab/jiang2016. To run the container you need the database credentials that can be requested via email.
We will then send you a file called
dj_local_conf.json. With that file you can run the container via
docker run -p 8888:8888 -v $(PWD)/dj_local_conf.json:/jiang2016/dj_local_conf.json atlab/jiang2016
After that a jupyter notebook server should be available from your browser under
The datasets provided by this repository and through the database linked with the accompanying Docker container are licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License</a>. This license requires that you contact us before you use the data in your own research. In particular, this means that you have to ask for permission if you intend to publish a new analysis performed with this data (no derivative works-clause).
<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />
The code in this repository is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/3.0/">Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License</a>.
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