hodgkin_huxley_tutorial
A repository containing code for a number of tutorials on the Hodgkin Huxley model, including an interactive Jupyter notebook
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: frontiersin.org, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.1%) to scientific vocabulary
Repository
A repository containing code for a number of tutorials on the Hodgkin Huxley model, including an interactive Jupyter notebook
Basic Info
Statistics
- Stars: 47
- Watchers: 28
- Forks: 9
- Open Issues: 5
- Releases: 2
Metadata Files
README.md
Hodgkin Huxley Tutorials
This repository contains the code for a number of related tutorials on the Hodgkin Huxley model
Tutorial 1A: HH model in Python and NeuroML
Target audience: those who want to learn how to implement the HH model
This tutorial contains a side-by-side comparison of Python code that runs the Hodgkin-Huxley equations and generates plots with a NeuroML2 implementation of the same equations.
This was originally created by @joebowen on behalf of the OpenWorm project.
The latest version of the tutorial is visible online at ReadTheDocs.
Tutorial 1B: Interactive introduction to the HH model in a Jupyter notebook
Target audience: those who want to simulate the HH model using an interactive Python based web notebook
This interactive Jupyter notebook can be used to run the Python version of the HH model from above, change the parameters of the model and display the dynamical properties of variables, without the need to write any code.
Full details can be found here. This work was carried out as part of Google Summer of Code 2022 by Rahul Sonkar.
Tutorial 2: Interactive introduction to the HH model on Open Source Brain
Target audience: those who want to learn the basics of the HH model through running in-browser simulations
This tutorial also uses the NeuroML model from above, but provides a high level introduction to the concepts of the model (as well as computational modelling in neuroscience).
It can be accessed on the Open Source Brain site at this location: http://www.opensourcebrain.org/tutorials. It is built on the Geppetto platform, which was also initially developed in the OpenWorm project.

See also http://www.opensourcebrain.org/projects/hodgkin-huxley-tutorial.
Reusing this model
The code in this repository is provided under the terms of the software license included with it. If you use this model in your research, we respectfully ask you to cite the references outlined in the CITATION file.
Owner
- Name: OpenWorm
- Login: openworm
- Kind: organization
- Email: info@openworm.org
- Location: International
- Website: http://openworm.org
- Repositories: 95
- Profile: https://github.com/openworm
An open-source project dedicated to creating a virtual C. elegans nematode in a computer.
Citation (CITATION.md)
## Citing this model The software in this repository is provided under the terms of the [software license](LICENSE) included with it. If you use this model in your research, we respectfully ask you to cite: **The original publication upon which this model is based** - Hodgkin AL, Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology 1952. **The latest release of this repository** - This link should provide a DOI/citation for the latest version released: https://www.zenodo.org/badge/latestdoi/27819667. If you would like us to make a new release, please [open an issue](../../issues).
GitHub Events
Total
- Watch event: 9
- Issue comment event: 1
- Push event: 5
- Pull request event: 2
Last Year
- Watch event: 9
- Issue comment event: 1
- Push event: 5
- Pull request event: 2
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 31
- Total pull requests: 45
- Average time to close issues: 4 months
- Average time to close pull requests: 5 days
- Total issue authors: 3
- Total pull request authors: 7
- Average comments per issue: 2.03
- Average comments per pull request: 0.73
- Merged pull requests: 45
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 10 days
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pgleeson (21)
- travs (5)
- joebowen (5)
- sanjayankur31 (1)
Pull Request Authors
- pgleeson (27)
- irahulsonkar (11)
- sanjayankur31 (3)
- raminmh (1)
- slarson (1)
- swharden (1)
- VahidGh (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- ipympl *
- ipywidgets *
- matplotlib *
- numpy *
- scipy *
