brainmodels 0.4.1

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