Preface

Bridging Neuroscience and Artificial Intelligence

Preface

NoteWelcome to the NeuroAI Handbook

This book explores the fascinating intersection of computational neuroscience and artificial intelligence, examining how principles from neuroscience inform modern AI systems and how computational approaches help us understand the brain.

About This Book

This text bridges two revolutionary fields that are increasingly intertwined. Whether you’re approaching from neuroscience, AI, or both, this handbook provides the foundations and advanced topics you need.

TipThis book is designed for:

• Graduate students and researchers in computational neuroscience
• AI practitioners seeking biological inspiration for algorithms
• Neuroscientists interested in machine learning approaches
• Anyone fascinated by neural computation and cognitive modeling

How to Use This Book

Each chapter is carefully structured to maximize learning and provide hands-on experience:

ImportantChapter Structure

• Learning Objectives: Key concepts to master
• Mathematical Foundations: Formal descriptions of models
• Code Examples: Python implementations of key algorithms
• Exercises: Problems to reinforce understanding
• References: Curated further reading

Companion Workbook: All code examples are extracted into the NeuroAI Labs Workbook for hands-on computational practice.

Prerequisites

WarningBefore You Begin

Mathematics: Linear algebra, calculus, probability & statistics (undergraduate level)

Programming: Basic Python experience (NumPy, Matplotlib familiarity helpful)

Neuroscience: Introductory knowledge helpful but not required; we build from fundamentals

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The intersection of brains and algorithms holds the key to understanding both biological and artificial intelligence.