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https://github.com/russelljjarvis/jit_hub

Single neuronal models encoded in python language numba speed up. Note model waveforms are returned in Neo Format and model currents and voltages are represented with quantities units.
https://github.com/russelljjarvis/jit_hub

numba numba-jit-compiler

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Single neuronal models encoded in python language numba speed up. Note model waveforms are returned in Neo Format and model currents and voltages are represented with quantities units.

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# Numba/JIT reduced neuoronal models

[![All Contributors](https://img.shields.io/badge/all_contributors-2-orange.svg?style=flat-square)](#contributors-)

[![Build Status](https://circleci.com/gh/russelljjarvis/jit_hub/tree/neuronunit.svg?style=svg)](https://app.circleci.com/pipelines/github/russelljjarvis/jit_hub/)
[![DOI](https://zenodo.org/badge/304228004.svg)](https://zenodo.org/badge/latestdoi/304228004)

Single neuronal models encoded in python language numba speed up.
Note model waveforms are returned in Neo Format and model currents and voltages are represented with quantities units.
Models:
* Adaptive Exponential.
* [Izhikevich 2007 (not 2003).](https://github.com/OpenSourceBrain/IzhikevichModel/blob/master/numba/faster_izhikevich_model.ipynb)
* Multi Time Scale Adaptive Neuron

To install.
```
pip install jithub==0.1.0
```
or:
```
git clone -b dev https://github.com/russelljjarvis/jit_hub
sudo pip install -e .
```

[Examples](https://github.com/russelljjarvis/jit_hub/blob/neuronunit/jithub/examples/backend_test.ipynb)

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):



Russell Jarvis

💻 📖 🤔 🎨 🚇

Richard C Gerkin

💻 🤔

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!