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).