BrainPy : a flexible, integrative, efficient, and extensible framework towards general-purpose brain dynamics programming Article Swipe
Chaoming Wang
,
Xiaoyu Chen
,
Tianqiu Zhang
,
Si Wu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.28.514024
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.28.514024
The neural mechanisms underlying brain functions are extremely complicated. Brain dynamics modeling is an indispensable tool for elucidating these mechanisms by modeling the dynamics of the neural circuits that execute brain functions. To ease and facilitate brain dynamics modeling, a general-purpose programming framework is needed to enable users to freely define neural models across multiple scales; efficiently simulate, train, and analyze model dynamics; and conveniently extend new modeling approaches. By utilizing the advanced just-in-time (JIT) compilation, we developed BrainPy. BrainPy provides a rich infrastructure tailored for brain dynamics programming, which supports an integrated platform for brain dynamics model building, simulation, training, and analysis. Models in BrainPy can be JIT compiled into binary instructions for multiple devices (including CPU, GPU, and TPU) to achieve a high running performance comparable to native C or CUDA. Moreover, BrainPy features an extensible architecture allowing easy expansion of new infrastructure, utilities, and machine learning approaches.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.10.28.514024
- https://www.biorxiv.org/content/biorxiv/early/2022/10/28/2022.10.28.514024.full.pdf
- OA Status
- green
- Cited By
- 9
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307734459
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307734459Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.10.28.514024Digital Object Identifier
- Title
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BrainPy : a flexible, integrative, efficient, and extensible framework towards general-purpose brain dynamics programmingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-28Full publication date if available
- Authors
-
Chaoming Wang, Xiaoyu Chen, Tianqiu Zhang, Si WuList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.10.28.514024Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2022/10/28/2022.10.28.514024.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/10/28/2022.10.28.514024.full.pdfDirect OA link when available
- Concepts
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Computer science, Extensibility, Dynamics (music), CUDA, General purpose, Brain Cell, Programming paradigm, Software engineering, Distributed computing, Artificial intelligence, Computer architecture, Programming language, Parallel computing, Acoustics, Physics, Cell biology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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60Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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