Skip to main content

Ecosystem for Brain Modeling.

Project description

Ecosystem for Brain Modeling

PyPI version Read the Docs Continuous Integration

Header image of Brain Modeling Ecosystem.

Overview

Ecosystem for Brain Modeling provides comprehensive framework for computational neuroscience and brain simulation. It provides tools and libraries for researchers to model, simulate, train, and analyze neural systems at different scales.

Core components in this ecosystem includes:

  • BrainUnit: Comprehensive physical units and unit-aware mathematical system for brain dynamics.

  • BrainCell: Intuitive, parallel, and efficient simulation for biologically detailed brain cell modeling.

  • BrainState: State-based IR compilation for efficient simulation of brain models on CPUs, GPUs, and TPUs.

  • BrainTaichi: The first-generation framework for customizing event-driven operators based on Taichi Lang syntax.

  • BrainEvent: Enabling event-driven computations in brain dynamics.

  • BrainScale: Enabling scalable online learning for brain dynamics: $O(N)$ complexity for SNNs, and $O(N^2)$ for RNN computations.

  • BrainTools: Commonly used tools for brain dynamics programming, for example checkpointing.

Installation

The ecosystem can be installed with the following command:

pip install BrainX -U

This command installs the core package and pins specific versions of the component projects known to work together, ensuring compatibility based on integration tests.

On CPU platforms, the following command can be used to install the ecosystem with all components:

pip install BrainX[cpu] -U

On GPU platforms, the following command can be used to install the ecosystem with all components:

pip install BrainX[cuda12] -U

On TPU platforms, the following command can be used to install the ecosystem with all components:

pip install BrainX[tpu] -U

For development, you might want to clone the repository and install it in editable mode:

git clone https://github.com/chaobrain/brain-modeling-ecosystem.git
cd brain-modeling-ecosystem
pip install -e .

Documentation

For detailed documentation, tutorials, and examples, visit our Documentation Portal.

Contributing

We welcome contributions from the community! Please see our Contributing Guidelines for more information on how to get involved.

License

This project is licensed under the Apache License, Version 2.0. See the LICENSE file for details.

Citation

If you use the Brain Modeling Ecosystem in your research, please cite it appropriately. Refer to the citation guide on our documentation portal.

Support

If you have questions, encounter issues, or need support, please:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

BrainX-2025.7.29-py2.py3-none-any.whl (8.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file BrainX-2025.7.29-py2.py3-none-any.whl.

File metadata

  • Download URL: BrainX-2025.7.29-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for BrainX-2025.7.29-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 83bae919145b546fa9853d4f47b902af57f39c9ed37ef866b61654d983180b96
MD5 c76fc89657b3b5c9db53595349232761
BLAKE2b-256 7c41f0e7c5ef2c1abbb71e0ebb97c064d2ba20986850f0a6c2b58feff0524ca0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page