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👏👏 CHEERS: A new version of BrainPy (>=2.0.0, long term support) has been released! 👏👏
BrainPy
is an integrative framework for computational neuroscience and brain-inspired computation based on the Just-In-Time (JIT) compilation (built on top of JAX). 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
: numpy >= 1.15
, matplotlib >= 3.4
, and jax >= 0.2.10
(how to install jax?)
BrainPy
can be installed on Linux (Ubuntu 16.04 or later), macOS (10.12 or later), and Windows platforms. Use the following instructions to install brainpy
:
pip install brain-py -U
For the full installation details please see documentation: Quickstart/Installation
Here we list several examples of BrainPy. For more detailed examples and tutorials please see BrainModels or BrainPy-Examples.
See brainmodels.neurons to find more.
See brainmodels.synapses to find more.
(Song, et al., 2016): Training excitatory-inhibitory recurrent network
[Working Memory] (Masse, et al., 2019): RNN with STP for Working Memory
A nascent version of BrainPy was described in a paper that appeared at ICONIP 2021. We're currently working on covering BrainPy's ideas and capabilities in a more comprehensive and up-to-date paper.
If you use BrainPy for your published research, you can cite BrainPy with:
Wang, C., Jiang, Y., Liu, X., Lin, X., Zou, X., Ji, Z., & Wu, S. (2021, December). A Just-In-Time Compilation Approach for Neural Dynamics Simulation. In International Conference on Neural Information Processing (pp. 15-26). Springer, Cham.
or,
@inproceedings{wang2021just,
title={A Just-In-Time Compilation Approach for Neural Dynamics Simulation},
author={Wang, Chaoming and Jiang, Yingqian and Liu, Xinyu and Lin, Xiaohan and Zou, Xiaolong and Ji, Zilong and Wu, Si},
booktitle={International Conference on Neural Information Processing},
pages={15--26},
year={2021},
organization={Springer}
}
If you are using brainpy==1.x
, you can find documentation, examples, and models through the following links:
The changes from brainpy==1.x
to brainpy==2.x
can be inspected through API documentation: release notes.
Brain Dynamics Programming in Python
https://brainpy.readthedocs.io/
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