Third Edition (v3.1): This major revision includes extensive new content on quantization, LoRA fine-tuning, Vision Transformers, evaluation metrics, vector databases, RAG, and comprehensive coverage of modern LLM deployment. Includes the companion NeuroAI Labs Workbook for hands-on computational practice.
Copyright © 2025-2026 Richard Young
All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means without the prior written permission of the publisher, except for brief quotations in reviews and certain other noncommercial uses permitted by copyright law.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to: - Share: copy and redistribute the material - Adapt: remix, transform, and build upon the material
Under the following terms: - Attribution: You must give appropriate credit - NonCommercial: You may not use the material for commercial purposes
Educational Use: Educational institutions and instructors may freely use this handbook in their courses.
Code License: All code examples are licensed under the MIT License for maximum reusability.
The information provided in this handbook is for educational and informational purposes only. The author and contributors make no representations as to accuracy, completeness, currentness, suitability, or validity of any information in this handbook and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use.
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{\Large\textbf{The NeuroAI Handbook}}
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{\large\textit{Bridging Neuroscience and Artificial Intelligence}}
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{\large Version 3.1, January 2026}
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Richard Young, Ph.D.
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**Third Edition (v3.1)**: This major revision includes extensive new content on quantization, LoRA fine-tuning, Vision Transformers, evaluation metrics, vector databases, RAG, and comprehensive coverage of modern LLM deployment. Includes the companion NeuroAI Labs Workbook for hands-on computational practice.
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## Copyright
**Copyright © 2025-2026 Richard Young**
All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means without the prior written permission of the publisher, except for brief quotations in reviews and certain other noncommercial uses permitted by copyright law.
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## License
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### **Creative Commons License**
This work is licensed under a **Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)**.
**You are free to:**
- Share: copy and redistribute the material
- Adapt: remix, transform, and build upon the material
**Under the following terms:**
- **Attribution**: You must give appropriate credit
- **NonCommercial**: You may not use the material for commercial purposes
**Educational Use:** Educational institutions and instructors may freely use this handbook in their courses.
**Code License:** All code examples are licensed under the **MIT License** for maximum reusability.
:::
\vspace{0.5cm}
## Disclaimer
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The information provided in this handbook is for **educational and informational purposes only**. The author and contributors make no representations as to accuracy, completeness, currentness, suitability, or validity of any information in this handbook and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use.
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\textit{First Published 2025 | Updated January 2026}
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