BrainX Ecosystem

Papers about BrainX.

The papers that introduce BrainX and its packages: differentiable brain simulation, just-in-time compilation of neural dynamics, physical units for scientific computing, and online learning in spiking networks.

How to cite

If BrainX helped your work, cite the paper for the package you used. For a specific package, its CITATION.cff on GitHub has the details.

2026

  1. Model-agnostic linear-memory online learning in spiking neural networks

    Chaoming Wang, Xingsi Dong, Zilong Ji, Mingqing Xiao, Jiedong Jiang, Xiao Liu, Yuxiang Huan, Si Wu

    Nature Communications

    BibTeX for Model-agnostic linear-memory online learning in spiking neural networks 
    @article{wang2026braintrace,
  title     = {Model-agnostic linear-memory online learning in spiking neural networks},
  author    = {Wang, Chaoming and Dong, Xingsi and Ji, Zilong and Xiao, Mingqing and Jiang, Jiedong and Liu, Xiao and Huan, Yuxiang and Wu, Si},
  journal   = {Nature Communications},
  year      = {2026},
  publisher = {Nature Publishing Group UK London},
  doi       = {10.1038/s41467-026-68453-w}
}

2025

  1. Integrating physical units into high-performance AI-driven scientific computing

    Chaoming Wang, Sichao He, Shouwei Luo, Yuxiang Huan, Si Wu

    Nature Communications, 16(1): 3609

    BibTeX for Integrating physical units into high-performance AI-driven scientific computing 
    @article{wang2025brainunit,
  title     = {Integrating physical units into high-performance AI-driven scientific computing},
  author    = {Wang, Chaoming and He, Sichao and Luo, Shouwei and Huan, Yuxiang and Wu, Si},
  journal   = {Nature Communications},
  volume    = {16},
  number    = {1},
  pages     = {3609},
  year      = {2025},
  publisher = {Nature Publishing Group UK London},
  doi       = {10.1038/s41467-025-58626-4}
}

2024

  1. A differentiable brain simulator bridging brain simulation and brain-inspired computing

    Chaoming Wang, Tianqiu Zhang, Sichao He, Hongyaoxing Gu, Shangyang Li, Si Wu

    International Conference on Learning Representations: 54834–54864

    BibTeX for A differentiable brain simulator bridging brain simulation and brain-inspired computing 
    @inproceedings{wang2024differentiable,
  title     = {A differentiable brain simulator bridging brain simulation and brain-inspired computing},
  author    = {Wang, Chaoming and Zhang, Tianqiu and He, Sichao and Gu, Hongyaoxing and Li, Shangyang and Wu, Si},
  booktitle = {International Conference on Learning Representations},
  pages     = {54834--54864},
  year      = {2024},
  url       = {https://openreview.net/forum?id=AU2gS9ut61}
}

  2. A Differentiable Approach to Multi-scale Brain Modeling

    Chaoming Wang, Muyang Lyu, Tianqiu Zhang, Sichao He, Si Wu

    ICML 2024 Workshop on Differentiable Almost Everything Code for A Differentiable Approach to Multi-scale Brain Modeling

    BibTeX for A Differentiable Approach to Multi-scale Brain Modeling 
    @inproceedings{wang2024multiscale,
  title         = {A Differentiable Approach to Multi-scale Brain Modeling},
  author        = {Wang, Chaoming and Lyu, Muyang and Zhang, Tianqiu and He, Sichao and Wu, Si},
  booktitle     = {ICML 2024 Workshop on Differentiable Almost Everything},
  year          = {2024},
  eprint        = {2406.19708},
  archivePrefix = {arXiv},
  url           = {https://openreview.net/forum?id=a6cpnxdGq7}
}

2023

  1. BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming

    Chaoming Wang, Tianqiu Zhang, Xiaoyu Chen, Sichao He, Shangyang Li, Si Wu

    eLife, 12: e86365

    BibTeX for BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming 
    @article{wang2023brainpy,
  title     = {BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming},
  author    = {Wang, Chaoming and Zhang, Tianqiu and Chen, Xiaoyu and He, Sichao and Li, Shangyang and Wu, Si},
  journal   = {eLife},
  volume    = {12},
  pages     = {e86365},
  year      = {2023},
  publisher = {eLife Sciences Publications, Ltd},
  doi       = {10.7554/eLife.86365}
}

2021

  1. A Just-In-Time Compilation Approach for Neural Dynamics Simulation

    Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu

    Neural Information Processing (ICONIP 2021): 15–26

    BibTeX for A Just-In-Time Compilation Approach for Neural Dynamics Simulation 
    @inproceedings{wang2021jit,
  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 = {Neural Information Processing (ICONIP 2021)},
  pages     = {15--26},
  year      = {2021},
  publisher = {Springer International Publishing},
  isbn      = {9783030922382},
  doi       = {10.1007/978-3-030-92238-2_2}
}