Theoretical Neuroscience

This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition. It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics. Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions). Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence. The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior. Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century.

Key Features

• Rooted in the most recent advances in experimental studies of basic cognitive functions


• Introduces neurobiological and mathematical concepts so that the book is self-contained


• Heavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical models


• Concludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future research


• Computer model codes are available via GitHub for hands-on practice

?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?.


?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 20^th century, Molecular Biology decoded the intricate mechanisms of DNA and RNA, the ?logic of life? celebrated by Nobel prize François Jacob. Understanding the logic of neural circuits of cognition is an equivalent goal for 21^st 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, Coll?ge de France, Paris. 2014 Brain Prize winner


?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