https://github.com/nicolossus/neuromodels
Computational neuroscience models and model tools
https://github.com/nicolossus/neuromodels
computational-neuroscience neuroscience
Last synced: 3 months ago
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Computational neuroscience models and model tools
- Host: GitHub
- URL: https://github.com/nicolossus/neuromodels
- Owner: nicolossus
- License: mit
- Created: 2021-05-27T12:17:17.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-12-09T10:34:47.000Z (over 3 years ago)
- Last Synced: 2025-02-14T03:36:51.507Z (3 months ago)
- Topics: computational-neuroscience, neuroscience
- Language: Jupyter Notebook
- Homepage: https://neuromodels.readthedocs.io
- Size: 1.79 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# NeuroModels
[](https://pypi.python.org/pypi/neuromodels)
[](https://pypi.python.org/pypi/neuromodels)
[](https://github.com/nicolossus/neuromodels/blob/master/LICENSE)`NeuroModels` is a Python toolbox for simulating neuroscientific models, post-simulation analysis and feature extraction.
## Overview
`NeuroModels` is a software that aims to provide a framework for neuroscientific simulator models and methods for extracting features from the simulated recording. The simulator models are implemented to be flexible, particularly in the sense of parameterizing the models.`NeuroModels` presently includes the following neural simulators:
* Hodgkin-Huxley Model
* Brunel Network Model`NeuroModels` is a part of the author's [Master thesis](https://github.com/nicolossus/Master-thesis).
## Installation instructions
### Install with pip
`NeuroModels` can be installed directly from [PyPI](https://pypi.org/project/neuromodels/):```
pip install neuromodels
```## Requirements
* `Python` >= 3.8
* The standard scientific libraries; `NumPy`, `Matplotlib`, `SciPy`## Documentation
Documentation can be found at [neuromodels.readthedocs.io](https://neuromodels.readthedocs.io/).## Getting started
Check out the [Examples gallery](https://neuromodels.readthedocs.io/en/latest/auto_examples/index.html) in the documentation.## Automated build and test
The repository uses continuous integration (CI) workflows to build and test the project directly with GitHub Actions. Tests are provided in the [`tests`](tests) folder. Run tests locally with `pytest`:```
python -m pytest tests -v
```