Slice cutting simulation for Jiang et al. 2016
Jupyter Notebook Python
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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 localhost:8888.


The datasets provided by this repository and through the database linked with the accompanying Docker container are licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. 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).
Creative Commons License

The code in this repository is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Creative Commons License