The Human Brain Simulation Project is an ambitious, open-source initiative aimed at creating a comprehensive and modular framework for simulating various aspects of human brain function. This project leverages the power of Python to model neuronal dynamics, network interactions, sensory processing, and cognitive functions. Our goal is to bridge the gap between empirical brain research and computational neuroscience, integrating machine learning techniques for advanced pattern recognition and analysis.
The primary objective is to develop a robust, scalable platform that allows researchers, neuroscientists, data scientists, and enthusiasts to simulate and study the complexities of the human brain. By providing a detailed and modular simulation framework, the aim is to contribute to the understanding of brain function, facilitate the study of neural disorders, and advance the field of computational neuroscience.
- Project Repository
- Contribution Guidelines
- Installation Instructions
- Module Documentation
- Development Guidelines
- Modular Design: Clear separation of concerns through a well-structured directory layout, enabling focused development and ease of understanding.
- Comprehensive Simulation: Covering various brain functions, from neuronal dynamics to cognitive processes.
- Empirical Data Integration: Grounded in empirical data, ensuring realistic and valid simulation models.
- Machine Learning Techniques: Incorporating AI for pattern recognition and analysis within simulations.
- Collaborative Development: Open to contributions, aiming to foster a community-driven development approach.
To get started with the Human Brain Simulation Project, please refer to the Installation Guide. This guide provides step-by-step instructions on setting up the project and running initial simulations.
We warmly welcome contributions from the community. Whether you're interested in fixing bugs, adding new features, or improving documentation, your help is invaluable. Please read our Contribution Guidelines for more information on making contributions.