Theoretical Neuroscience
CRC Press (Verlag)
978-1-032-60481-7 (ISBN)
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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
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. Before joining New York University, he was Professor at Yale University. His honors include Guggenheim Fellowship, the Swartz Prize for Theoretical and Computational Neuroscience and the Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience.
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
| Erscheint lt. Verlag | 28.2.2025 |
|---|---|
| Zusatzinfo | 1 Tables, color; 251 Line drawings, color; 61 Halftones, color; 5 Halftones, black and white; 312 Illustrations, color; 5 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 210 x 280 mm |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie |
| Naturwissenschaften ► Biologie ► Humanbiologie | |
| Naturwissenschaften ► Biologie ► Zoologie | |
| ISBN-10 | 1-032-60481-6 / 1032604816 |
| ISBN-13 | 978-1-032-60481-7 / 9781032604817 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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