BrainModels provides standard and canonical brain models (including various neurons, synapses, networks, and intuitive paper examples) which are implemented with BrainPy simulator. Moreover, we welcome your brain model implementations, and publish them through our GitHub homepage. In such a way, once your new model is implemented, it can be easily shared with other BrainPy users.
Currently, we provide the following standard models:
| Neuron Models | Synapse Models | Learning Rules |
|---|---|---|
| Leaky integrate-and-fire model | Alpha Synapse | STDP |
| Exponential integrate-and-fire model | AMPA / NMDA | BCM rule |
| Quadratic integrate-and-fire | GABAA / GABAB | Oja's rule |
| Adaptive Exponential IF model | Exponential Decay Synapse | |
| Adaptive Quadratic IF model | Difference of Two Exponentials | |
| Generalized IF model | Short-term plasticity | |
| Izhikevich model | Gap junction | |
| Hodgkin-Huxley model | Voltage jump | |
| Morris-Lecar model | ||
| Hindmarsh-Rose model |
Install BrainModels using pip:
> pip install brainmodelsInstall from source code:
> pip install git+https://github.com/PKU-NIP-Lab/BrainModelsBrainModels is based on Python (>=3.6), and the following packages need to be installed to use BrainModels:
- brain-py >= 1.1.0
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