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BrainPy
is an integrative framework for computational neuroscience and brain-inspired computation based on Just-In-Time (JIT) compilation (built on the top of JAX and Numba). Core functions provided in BrainPy includes
BrainPy
is designed to effectively satisfy your basic requirements:
BrainPy
is based on Python (>=3.6), and the following packages are required to be installed to use BrainPy
:
The installation details please see documentation: Quickstart/Installation
Method 1: install BrainPy
by using pip
:
To install the stable release of BrainPy (V1.0.3), please use
> pip install -U brain-py
To install the latest pre-release version of BrainPy (V1.1.0), please use
> pip install -U brain-py --pre
If you have installed the previous version of BrainPy, please uninstall the older one first
> pip uninstall brainpy-simulator
# Then install the latest version of BrainPy
> pip install -U brain-py --pre
Method 2: install BrainPy
from source:
> pip install git+https://github.com/PKU-NIP-Lab/BrainPy
>
> # or
> pip install git+https://git.openi.org.cn/OpenI/BrainPy
>
> # or
> pip install -e git://github.com/PKU-NIP-Lab/BrainPy.git@V1.0.0
Other dependencies: you want to get the full supports by BrainPy, please install the following packages:
JAX >= 0.2.10
, needed for "jax" backend and "dnn" moduleNumba >= 0.52
, needed for JIT compilation on "numpy" backendSymPy >= 1.4
, needed for dynamics "analysis" module and Exponential Euler methodHere list several examples of BrainPy. More detailed examples and tutorials please see BrainModels.
See brainmodels.neurons to find more.
See brainmodels.synapses to find more.
A flexible and extensible framework for brain modeling
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