Citing brainpy.state#

If brainpy.state contributes to your research, please cite the two papers that define the framework and its differentiable design. The first describes the BrainPy framework as a whole; the second introduces the differentiable simulator and the AlignPre/AlignPost projections that brainpy.state is built around.

BrainPy framework (eLife 2023)#

Wang, C., et al. (2023). BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming. eLife, 12, e86365. doi:10.7554/eLife.86365

@article {10.7554/eLife.86365,
     article_type = {journal},
     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},
     editor = {Stimberg, Marcel},
     volume = 12,
     year = 2023,
     month = {dec},
     pub_date = {2023-12-22},
     pages = {e86365},
     citation = {eLife 2023;12:e86365},
     doi = {10.7554/eLife.86365},
     url = {https://doi.org/10.7554/eLife.86365},
     journal = {eLife},
     issn = {2050-084X},
     publisher = {eLife Sciences Publications, Ltd},
}

Differentiable brain simulator (ICLR 2024)#

Wang, C., et al. (2024). A differentiable brain simulator bridging brain simulation and brain-inspired computing. International Conference on Learning Representations (ICLR). openreview:AU2gS9ut61

@inproceedings{wang2024a,
     title={A differentiable brain simulator bridging brain simulation and brain-inspired computing},
     author={Chaoming Wang and Tianqiu Zhang and Sichao He and Hongyaoxing Gu and Shangyang Li and Si Wu},
     booktitle={The Twelfth International Conference on Learning Representations},
     year={2024},
     url={https://openreview.net/forum?id=AU2gS9ut61}
}

See Also#