brainmodels 0.4.1

BrainModels: Brain models implemented with BrainPy

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