How to Use This Guide
This guide is designed to be read both linearly and as a reference. Here are some tips for getting the most out of it.
Navigation
Section titled “Navigation”Use the sidebar on the left to browse topics by category. Each section is organized from foundational concepts to more advanced topics:
- Getting Started — You are here. Orientation and overview.
- Artificial Intelligence — Start with Transformers, then move to Large Language Models, Neural Networks, Deep Reinforcement Learning, and Prompt Engineering.
- Neuroscience — Start with Computational Neuroscience, then Neural Coding, and finally Neuroplasticity.
- AI × Neuroscience — Explore Brain-Computer Interfaces, Neuro-Inspired AI, and Neuromorphic Computing — where biology and computation converge.
Reading Order
Section titled “Reading Order”If you are new to these fields, we recommend starting with the Artificial Intelligence section to build foundational knowledge, then exploring Neuroscience for biological perspectives, and finally AI × Neuroscience for topics at the intersection of the two fields.
If you already have a background in one area, feel free to jump directly to the topics that interest you. Each article is written to be self-contained, with cross-references where relevant.
Conventions
Section titled “Conventions”Throughout this guide, you will encounter:
- Key Concepts sections that summarize the most important ideas in each article
- Further Reading sections with links to seminal papers, textbooks, and online resources
- Mathematical notation where necessary, kept as accessible as possible
Contributing
Section titled “Contributing”This guide is a living document. If you would like to suggest corrections, additions, or new topics, please reach out to the I2 team or open an issue on our GitHub repository.