brainpy 2.6.1

BrainPy: Brain Dynamics Programming in Python

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.

• Website (documentation and APIs): https://brainpy.readthedocs.io/en/latest
• Source: https://github.com/brainpy/BrainPy
• Bug reports: https://github.com/brainpy/BrainPy/issues
• Ecosystem: https://brainmodeling.readthedocs.io/
• Source on OpenI: https://git.openi.org.cn/OpenI/BrainPy

Installation

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.

BrainPy requires jax<0.6.0.

For detailed installation instructions, please refer to the documentation: Quickstart/Installation

Using BrainPy with docker

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

Using BrainPy with Binder

We provide a Binder environment for BrainPy. You can use the following button to launch the environment:

Ecosystem

• BrainPy: The solution for the general-purpose brain dynamics programming.
• brainpy-examples: Comprehensive examples of BrainPy computation.
• brainpy-datasets: Neuromorphic and Cognitive Datasets for Brain Dynamics Modeling.
• 《神经计算建模实战》 (Neural Modeling in Action)
• 第一届神经计算建模与编程培训班 (First Training Course on Neural Modeling and Programming)
• 第二届神经计算建模与编程培训班 (Second Training Course on Neural Modeling and Programming)

Citing

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.