Theoretical Neuroscience: Understanding Cognition
Autor Xiao-Jing Wangen Limba Engleză Paperback – 21 ian 2025
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
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Specificații
ISBN-13: 9781032604817
ISBN-10: 1032604816
Pagini: 572
Ilustrații: 634
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1032604816
Pagini: 572
Ilustrații: 634
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Public țintă
Academic, Postgraduate, and Undergraduate AdvancedCuprins
PART I
Chapter 1. Understanding the Cognitive Brain
Chapter 2. Neurons and Synapses
Chapter 3. Neural Networks
Chapter 4. Plasticity, Learning and Memory
PART II
Chapter 5. Working Memory
Chapter 6. Decision Making
Chapter 7. Value-based Economic Choice
Chapter 8. Executive Function
PART III
Chapter 9. Large-scale Multiregional Brain
Chapter 10. Computational Psychiatry
Chapter 11. Biological and Artificial Intelligence
Chapter 12. Looing Back and Ahead
Chapter 1. Understanding the Cognitive Brain
Chapter 2. Neurons and Synapses
Chapter 3. Neural Networks
Chapter 4. Plasticity, Learning and Memory
PART II
Chapter 5. Working Memory
Chapter 6. Decision Making
Chapter 7. Value-based Economic Choice
Chapter 8. Executive Function
PART III
Chapter 9. Large-scale Multiregional Brain
Chapter 10. Computational Psychiatry
Chapter 11. Biological and Artificial Intelligence
Chapter 12. Looing Back and Ahead
Notă biografică
Xiao-Jing Wang is Distinguished Global Professor of Neural Science at New York University, where he is also affiliated with the Courant Institute of Mathematical Sciences and Department of Physics. His honors include Guggenheim Fellowship, Swartz Prize for Theoretical and Computational Neuroscience, Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience.
Recenzii
“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 20th 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 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, Collège 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
- 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 20th 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 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, Collège 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
Descriere
This textbook synthesizes neuroscience and cognitive science. Cognition and intelligence arise from neural circuits endowed with many feedback loops, which is difficult to understand by intuition alone. The book covers basic computational neuroscience required for discussions of brain mechanisms and computational principles of cognition.