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Theoretical Neuroscience

Understanding Cognition

(Autor)

Buch | Softcover
560 Seiten
2025
CRC Press (Verlag)
978-1-032-60481-7 (ISBN)
CHF 148,35 inkl. MwSt
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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.
This textbook is an introduction to systems and computational neuroscience with a special focus on cognition. It consists of three parts: Part I covers basic concepts and mathematical models of computational neuroscience, as well as cutting-edge topics. Part II is dedicated to building blocks of cognition: working memory (how our brain maintains and manipulates information “online” in the absence of any external input), decision making (how a choice is selected among multiple options under uncertainty and risk) and behavioral flexibility (how we direct our attention and control our actions). In Part III, frontier research is discussed: models of large-scale multi-regional brain systems, computational psychiatry, interface with artificial intelligence. The author emphasizes the viewpoint of neural circuits as dynamical systems, and cross-level (from genes and cell types to collective neural populations to behavior) mechanistic understanding of the brain and the mind. Taken together, a reader is offered the opportunity to become well versed in this highly cross-disciplinary 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. His honors include Guggenheim Fellowship, Swartz Prize for Theoretical and Computational Neuroscience, 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 21.1.2025
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
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