BrainScale
Scalable Online Learning for Brain Dynamics
brainscale provides online learning algorithms for biological neural networks.
It has been integrated into our establishing brain modeling ecosystem.
Installation
brainscale can run on Python 3.10+ installed on Linux, MacOS, and Windows. You can install brainscale via pip:
pip install brainscale --upgrade
Alternatively, you can install BrainX, which bundles brainscale with other compatible packages for a comprehensive brain modeling ecosystem:
pip install BrainX -U
Documentation
The official documentation is hosted on Read the Docs: https://brainscale.readthedocs.io
Citation
If you use this package in your research, please cite:
@article {Wang2024.09.24.614728,
author = {Wang, Chaoming and Dong, Xingsi and Ji, Zilong and Jiang, Jiedong and Liu, Xiao and Wu, Si},
title = {BrainScale: Enabling Scalable Online Learning in Spiking Neural Networks},
elocation-id = {2024.09.24.614728},
year = {2025},
doi = {10.1101/2024.09.24.614728},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2025/07/27/2024.09.24.614728},
eprint = {https://www.biorxiv.org/content/early/2025/07/27/2024.09.24.614728.full.pdf},
journal = {bioRxiv}
}
See also the ecosystem
brainscale is one part of our brain simulation ecosystem: https://brainmodeling.readthedocs.io/
1 maintainer
Metadata
1 maintainer
Release files for brainscale 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| brainscale-0.1.0.tar.gz | 142.4 kB | Without provenance | Details for brainscale-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| brainscale-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for brainscale-0.1.0-py2.py3-none-any.whl |
Total release size: 314.7 kB
Release files / brainscale-0.1.0.tar.gz
| Download URL | brainscale-0.1.0.tar.gz |
|---|---|
| Size | 142.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d39e7aec6a8df6460c098a86cab4d3f95a81ec49cac488398b9b23aee77b8793
|
|
BLAKE2b-256 checksum How to use checksums |
47d9eb48295b5feb8f8e21f53eee20064539bf5fb482b4ff23f88c168a0e113f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / brainscale-0.1.0-py2.py3-none-any.whl
| Download URL | brainscale-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 172.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
9539a0bcefeffb61b31400bb1ccb37399e18ce7f02c881328a8ced705617ba7e
|
|
BLAKE2b-256 checksum How to use checksums |
faac9bf74551eac68275b8123a65f75b0ef0d2463b3654d5ac2f947a4623154f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Security for brainscale 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
