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BrainPy is a flexible, efficient, and extensible framework for computational neuroscience and brain-inspired computation based on the Just-In-Time (JIT) compilation (built on top of JAX, Taichi, Numba, and others). It provides an integrative ecosystem for brain dynamics programming, including brain dynamics building, simulation, training, analysis, etc.
BrainPy is based on Python (>=3.8) and can be installed on Linux (Ubuntu 16.04 or later), macOS (10.12 or later), and Windows platforms.
For detailed installation instructions, please refer to the documentation: Quickstart/Installation
We provide a docker image for BrainPy. You can use the following command to pull the image:
$ docker pull brainpy/brainpy:latest
Then, you can run the image with the following command:
$ docker run -it --platform linux/amd64 brainpy/brainpy:latest
We provide a Binder environment for BrainPy. You can use the following button to launch the environment:
BrainPy is developed by a team in Neural Information Processing Lab at Peking University, China.
Our team is committed to the long-term maintenance and development of the project.
If you are using brainpy
, please consider citing the corresponding papers.
We highlight the key features and functionalities that are currently under active development.
We also welcome your contributions
(see Contributing to BrainPy).
尊敬的启智用户
感谢您一直以来对Openl启智社区AI协作平台的支持。为了保障您的使用权益和确保网络安全,我们于2024年1月份更新了《Openl启智社区AI协作平台使用协议》。更新后的协议明确了用户禁止使用内网穿透工具的条例。您单击“同意并继续”后,便可以继续使用我们的服务。感谢您的合作与理解。
更多协议内容,请参考《Openl启智社区AI协作平台使用协议》