Memory And Sleep: A Computational Understanding - Hardcover

Chen, Zhe Sage

Hardcover

ISBN 10: 9819829046 ISBN 13: 9789819829040

Publisher: WSPC, 2026

Synopsis

"This is a marvelous tour of memory in all of its facets, written in a wonderfully engaging style. It is a book that helps the reader understand one of our most precious faculties — and Sage Chen has somehow managed even to provide a computational perspective that, again, is both appealing and written with a clarity and perkiness that leads the reader not only to learn, but also to enjoy the experience." Professor Ann Graybiel Institute Professor, MIT US National Academy Sciences and National Academy of Medicine Member winner of National Medal of Science, Kavli Prize, Gruber Prize in Neuroscience "Many books have been written about memory or sleep. Yet, books that cover both topics are rare. This is surprising, given that sleep and memory are intertwined, as Dr Chen eloquently describes in this volume. The reader will learn about science and be entertained by the many anecdotes about the discoverers. These historical investigations are vital since they promote new understanding. The journey into the past (i.e., memory) will culminate in a trip into the future, with a final chapter on memory and AI. A recommended read to professionals and laymen alike." György Buzsáki Biggs Professor of Neuroscience, New York University US National Academy Sciences Member winner of inaugural Brain Prize in 2011, Ralph W Gerard Prize in Neuroscience in 2020 Book author of The Brain from Inside Out (2019) and Rhythms of the Brain (2006) "Deeply rooted in modern computational neuroscience, this book provides a refreshing perspective of the beauty of memory and sleep, two fascinating functions of the human brain." Prof. Xiaosi Gu Yale University "Memory and Sleep tells the story of how memories are formed and remembered, by summarizing the research in this area and telling entertaining anecdotes about the scientists and doctors who performed this work. Chen's text is meticulously researched, demonstrates new connections between different lines of research, and is beautifully written. This book will change the way you think about sleep, memory, and the power of the human brain." Joshua Jacobs Professor of Neurology, University of Chicago The book provides a general introduction to memory and sleep, focusing on computational understanding of the concepts. It includes both fundamental and advanced topics about the process of learning in biological and computational systems, neurotechnology, NeuroAI, and neuroethics. It systematically covers major categories of memory; neural substrates of memory; brainwaves and their relationship to memory; the role of sleep in memory; dreaming; and memory consolidation. It includes important historical accounts and anecdotes of scientific discoveries. It has fifty-eight illustrations, and hundreds of notes and references. It bridges the gap between memory and computation. It provides novel computational perspectives of brain disorders and mental illnesses. It includes discussions on many computational models such as the attractor network, predictive coding, Bayesian inference, and reinforcement learning. It provides documented clinical observations and patient stories of memory-related diseases (such as amnesia). It discusses stem cells, organoids, memory manipulation, closed-loop neural interfaces, cutting-edge AI, neurotechnology, and their roles in future memory research.

About this title

About the Author

Zhe Sage Chen is a Professor at the New York University Grossman School of Medicine, with joint appointment at the Departments of Psychiatry and Neuroscience, and Department of Biomedical Engineering at the NYU Tandon School of Engineering. He is the Director of Computational Psychiatry Program at NYU, and the Director of Computational Neuroscience, Neuroengineering and Neuropsychiatry Laboratory. His research interests include computational neuroscience, computational psychiatry, neural engineering, neural signal processing, machine learning, and Bayesian statistics, in which he has published more than 150 peer-reviewed articles. He is the lead author of the book Correlative Learning (Wiley, 2007) and the editor of two books: Advanced State Space Methods for Neural and Clinical Data (Cambridge University Press, 2015) and Dynamic Neuroscience (Springer, 2018). Professor Chen is a Senior Member of the IEEE and currently serves as the Associate Editor for the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Frontiers in Computational Neuroscience. Previously, he was with the Editorial Board for the Neural Networks. Professor Chen has received several awards (e.g., Mathematical Bioscience Institute Early Career Award, Oracle for Research Award, IEEE Walter Karplus Summer Research Award, etc) and is the lead principal investigator for multiple research grants funded by the US National Science Foundation (NSF), National Institutes of Health (NIH), and the BRAIN Initiatives. His article has won the 2012 Brain Corporation Prize in Computational Neuroscience (3rd place).

Edition details

• Publisher: WSPC
• Publication date: 2026
• Language: English
• ISBN 10: 9819829046
• ISBN 13: 9789819829040
• Binding: Hardcover
• Number of pages: 354