Course note repository for Brain Connectivity (PSY 381D), Spring 2019 Semester. All documents are Jupyter notebooks. You can view the notes on the GitHub website, or via the nbviewer feature of the Jupyter web site (just click on the link below).
- Introduction and network data (1/28)
- Small-world networks (2/4)
- Network statistics (2/11)
- Network centrality (2/18)
- Rich club / K-core (2/25)
- Network communities (3/4)
- Brain atlases (3/11)
- Functional connectivity measures (3/25)
- Task networks (4/1)
- Dynamic connectivity (4/8)
- fMRI pre-processing (4/15)
- Docker source
- sathayas/python-network-bundle: Python 3.7 with network analysis libraries.
- Docker image available from Docker hub
- sathayas/python-fsl-bundle:
sathayas/python-network-bundleplus neuroimaging data analysis tools.- Docker image available from Docker hub
- sathayas/python-network-bundle: Python 3.7 with network analysis libraries.
- Git & GitHub tutorial