https://github.com/alexrockhill/bpc_jupyter
Jupyter notebook for the basis profile curves
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Repository
Jupyter notebook for the basis profile curves
Basic Info
- Host: GitHub
- Owner: alexrockhill
- License: gpl-3.0
- Default Branch: main
- Size: 6.77 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
bpc_jupyter
This Jupyter notebook is a tutorial for how to calculate Basis Profile Curve for intracranial EEG data during single pulse stimulation as described in:
Miller KJ, Müller K-R, Hermes D (2021) Basis profile curve identification to understand electrical stimulation effects in human brain networks. PLoS Comput Biol 17(9): e1008710. https://doi.org/10.1371/journal.pcbi.1008710
Please cite this work when using the code.
This Jupyter notebook is a translation of the Matlab code that was developed by Kai Miller in the paper. The Jupyter notebook was written by Tal Pal Attia, Harvey Huang and Dora Hermes, 2021.
Preparations
There are two steps to prepare for the tutorial:
Download this example dataset from OpenNeuro: https://openneuro.org/datasets/ds003708
Set up the environment and add the required python packages by opening the jupiter notebook (bpc_interactive.ipynb) and completing Section 1, Getting started with the Python environment and packages
Acknowledgements
This project was funded by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH122258.
Owner
- Name: Alex Rockhill
- Login: alexrockhill
- Kind: user
- Location: Eugene, OR
- Company: University of Oregon
- Twitter: alex_p_rockhill
- Repositories: 7
- Profile: https://github.com/alexrockhill
Graduate Student in the Swann Lab
GitHub Events
Total
Last Year
Dependencies
- ipykernel *
- matplotlib *
- nibabel *
- nilearn *
- numpy >=1.24.4
- pandas >=2.0.3
- pybids *
- pymef ==1.3.4
- scipy >=1.10.1
- sklearn *
- tqdm *