Theoretical Neuroscience

Rezensionen / Stimmen

"In this textbook, Xiao-Jing Wang takes the reader on a remarkable journey from cellular and synaptic biophysics to memory, decision making, psychiatry and large-scale brain structure. His insights on how to apply theoretical methods to higher cognitive functions will be valuable to anyone thinking about thinking."

- Larry Abbott, William Bloor Professor of Theoretical Neuroscience, Columbia University, 2024 Brain Prize winner, co-author with Peter Dayan of "Theoretical Neuroscience".

"X-J Wang's book illuminates how in the past decades a new field has emerged from the theoretical modeling of a wide diversity of neural processes which has successfully contributed to our understanding of brain functions up to Cognition. The book progresses from the most elementary building blocks of the brain, neurons, synapses and their molecular components up to global executive functions and the new field of computational psychiatry. The immense knowledge recently acquired and beautifully presented in the book is a must for anybody concerned by the higher functions of the brain: a bible for the students, a grandiose panorama for the educated scientists."

- Jean-Pierre Changeux, Institute Pasteur, Paris; author of "Neuronal Man: the Biology of Mind"

"This compelling book explains foundational concepts in theory and modeling in a way that marries rigor with intuition. It furnishes readers with powerful theory and modeling tools that are critically needed to tackle problems in modern neuroscience. Wang's explanations of network dynamics, normalization and attractor models for cognition are certain to inspire experimentalists and theorists alike."

- Anne Churchland, Professor, UCLA

"In 'Theoretical Neuroscience', Xiao-Xing Wang explains that while the brain is not a computer, all of its elements, from synapses to circuits, obey computational principles that underlie our cognitive functions. As a leader in the computational field, he gives an insider's account of these principles at both a mathematical and conceptual level. This should be required reading for any student of modern neuroscience."

- Robert Desimone, Director of the McGovern Instute for Brain Rearch, Doris and Don Berkey Professor of Neuroscience, MIT

"In the 20th century, Molecular Biology decoded the intricate mechanisms of DNA and RNA, the "logic of life" celebrated by Nobel prize Francois Jacob. Understanding the logic of neural circuits of cognition is an equivalent goal for 21st century in Neuroscience.This important book represents a fundamental step forward: it provides a synthesis of elemental circuit building blocks of core cognitive functions, how their operation can be mathematically modeled, and how their composition may account for a variety of cognitive processes and behavioral tasks"

- Stanislas Dehaene, Chair of Experimental Cognitive Psychology, College de France, Paris. 2014 Brain Prize winner

"Understanding the brain needs an appreciation of its components and activity over a wide range of spatial and temporal scales: from synapses to whole brain circuits, from rapid sensory and motor responses to lifetime memory. In this book Xiao-Jing Wang beautifully shows how theoretical and mathematical thinking can provide the needed abstraction to not only describe the brain at each scale, but synthesize these across scales into a compelling and deep understanding of neural function. At whatever stage you are in your neuroscience journey, from novice to expert, this is now required reading."

- Brent Doiron, Heinrich Kluver Professor of Neurobiology, Director of the Grossman Center for Quantitative Biology and Human Behavior, University of Chicago

"Nobody understands better than Xiao-Jing Wang how the events of the mind are built from the dynamic activity of neural populations, and in this book, he explains the state of the art from top to bottom. With extraordinary depth and scope, the story moves from the fundamentals of the neuron to the highest levels of human intelligence. Anybody aiming to understand the union of mind and brain can start right here."

- John Duncan, University of Cambridge and the Medical Research Council; author of "How Intelligence Happens"

"Xiao-Jing Wang has written a remarkable book, melding together viewpoints of a physicist/mathematician and those of a neuroscientist to produce a unique account of how the brain and its vast number of networks could operate to produce behavior. Wang has undertaken the job of bridging these two worlds, and the result is a grand success. This volume will be invaluable not only to academics, but also to all who have an interest in how the brain does its work. Xiao-Jing Wang has created a book to read and re-read, culminating in an introduction to brain-wide modeling to address the unsolved mysteries of the normal brain and the need for computational psychiatry to alleviate mental illness."

- Ann Graybiel, Institute Professor, MIT; National Medal of Science
"This book is a remarkable opus from Dr. X-J Wang, a pioneering computational neuroscientist who's work continues to surprise and inspire me. This book is logically organized. It builds from a model neuron, to networks, to cognition/behavior, and it integrates all of this in considering issues of "computational psychiatry", i.e., behavioral pathology. Wirtten with clarity and an accessible style, this wonderful book is useful for people entering the field of computational neuroscience. It is also a wonderful resource for clinical investigators hoping to learn about the formalism of computational models."

- John Krystal, Chair of the Department of Psychiatry, Yale University School of Medicine

"'Theoretical Neuroscience' by X.-J. Wang is a remarkable book. It reads easily, and puts much of the field of quantitative and computational neuroscience into frameworks that allow the reader to see the etiology and genesis of the particular methods and findings being discussed. The book is comprehensive and moves seamlessly from the details of the biophysics of single neurons and synapses to some of the most complex puzzles in the neuroscience of cognition. This book will be useful for trainees and for established investigators as its breadth and depth will be helpful for everyone as they wish to gain access to the conceptual frameworks of large areas of neuroscience and their quantitative analyses."

- Eve Marder, University Professor, Brandeis Universityl. National Medal of Science, former President of the Society for Neuroscience

"In a rapidly advancing field, Xiao-Jing Wang provides a beautiful and timely account of where we have been, where we are now, and where we are likely heading. From biophysical models of single neurons, through network models of neural circuits, to macro-level models of communication between brain areas, Wang sure-handedly guides the reader with clear, incisive exposition of each topic. For dessert, we are treated to Wang's forward-looking views on computational psychiatry and future interactions between artificial intelligence and natural intelligence. This book is a must-read for anyone intrigued with the nexus between neuroscience, cognitive science, and computational theory."

- William Newsome, Harman Family Provostial Professor of Neurobiology, Stanford University. Co-chair of the US BRAIN Initiative working group.

"This monumental treatise by Xiao-Jing Wang, one of the leading computational neuroscientists in the world, offers a thorough survey and critical synthesis of both experimental and theoretical works on various cognitive processes in the brain. A valuable book for consultation by researchers and students of neuroscience."

- Mu-ming Poo, Scientific Director of Institute of Neuroscience, Chinese Academy of Sciences, and Paul Licht Distinguished Professor in Biology Emeritus, University of California, Berkeley

"... a masterful book that is timely, rigorous, engaging and profoundly interdisciplinary. Xiao-Jing Wang is one the most accomplished computational neuroscientists. As we read his book, we are invited not only to engage with neural network models of the brain computations underpinning cognition and with their biological mechanisms, but also to reflect deeply on epistemology, on the future of neuroscience, on computational psychiatry, on the influence of theoretical physics on the understanding of the brain, and on the relationship between natural and artificial intelligence. A primary goal of the book is to be an advanced teaching and training resource, reflecting Wang's commitment to training the next generation of scientists. The book offers detailed and deep mathematical and epistemological guidance on how to build and analyze biologically informed neural network models. For experimental neuroscientists, it helps understanding what kinds of data and measurements are most informative for building, ruling in or ruling out models and hypotheses. As a teaching resource, it covers extremely well how to build network models of cognitive functions informed by data step by step, and provides important elements for the analysis of data. Theoretical Neuroscience: Understanding Cognition is a remarkable and engaging book - one that will be essential reading for anyone interested in how the brain computes, and what it means to build a mathematical science of cognition grounded in biology."

- Stefano Panzeri in Current Biology 35, R783-R798, August 18, 2025

"Xiao-Jing Wang has been a leader in theoretical neuroscience for many years. The approaches and models that he has devised have inspired the field. Even more importantly, however, Xiao-Jing Wang has had an impact on cognitive science and neuroscience more generally that has changed how scientists working with brain and behavioural data think about the issues that they are investigating. Theoretical Neuroscience: Understanding Cognition provides an accessible but comprehensive guide not just to how this happened but also to the very latest ideas emerging at the field's frontier."

- Matthew Rushworth, Chair of Psychology Department, Oxford University, UK

"If a genie were to grant me a wish, I might ask for a guided tour of the brain-starting in the microscopic world of neurons and synapses, traveling through the vast landscapes of large-scale cortical interactions underlying higher cognitive functions, and culminating in our modern era of AI. A tour with a master at my side who could cut through the dense jungle of thousands of scientific papers and explain the key findings with clarity, putting them in a precise conceptual and mathematical framework. Xiao-Jing Wang's remarkable book is exactly that wish come true. This book is an invaluable guide for young researchers and anyone who wants to truly understand what is known about the brain."

- Doris Tsao, University of California at Berkeley; winner of Kavli Prize in Neuroscience