NeuroModels is a Python toolbox for simulating neuroscientific models, post-simulation analysis and feature extraction.
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.
NeuroModels can be installed directly from PyPI:
pip install neuromodels
Python>= 3.8- The standard scientific libraries;
NumPy,Matplotlib,SciPy
Documentation can be found at neuromodels.readthedocs.io.
Check out the Examples gallery in the documentation.
The repository uses continuous integration (CI) workflows to build and test the project directly with GitHub Actions. Tests are provided in the tests folder. Run tests locally with pytest:
python -m pytest tests -v