Preface

In this book, *Neuromorphic Computing*, we embark on a captivating journey through the cutting-edge realm of brain-inspired computing systems that are revolutionizing the landscape of artificial intelligence and computational paradigms.

Neuromorphic computing, inspired by the intricate workings of the human brain, represents a groundbreaking approach to computational architectures. With an emphasis on mimicking the brain's neural networks, this emerging field has shown remarkable promise in addressing the inherent limitations of traditional computing systems. By harnessing the power of neural networks and synaptic connections, neuromorphic computing opens up new vistas of possibilities in data processing, pattern recognition, decision-making, and beyond.

This book is a comprehensive guide to understanding the principles, methodologies, and applications of neuromorphic computing. This book is for a diverse audience eager to explore the boundless potentials of brain-inspired computing.

Key features of this book include 1) foundational concepts, 2) neuromorphic circuits and systems; 3) emerging devices for neuromorphic computing; 4) deep learning, unsupervised learning, and sparse learning, 5) spiking neural network, recurrent neural network, and temporal neural network, and 6) memory computing.

In crafting this book, our goal is to provide readers with a comprehensive and insightful journey into the realm of neuromorphic computing. We have endeavored to make the content accessible to both beginners and experts, ensuring an enriching experience for everyone.

We extend our heartfelt gratitude to the researchers, scientists, and engineers who have contributed to the field of neuromorphic computing, pushing the boundaries of innovation. Their work continues to inspire and shape the landscape of artificial intelligence and computing systems.

> **Yang (Cindy) Yi** Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Tech, Blacksburg, VA, USA
