Description:
brainmodels 0.4.1
BrainModels
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
Installation
Install BrainModels using pip:
> pip install brainmodels
Install from source code:
> pip install git+https://github.com/PKU-NIP-Lab/BrainModels
BrainModels is based on Python (>=3.6), and the following packages need to be installed to use BrainModels:
brain-py >= 1.1.0
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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