Fundamentals of Computational Neuroscience: Third Edition

The theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system is known as computational neuroscience. The new edition of Fundamentals of Computational Neuroscience builds on the success and strengths of the previous editions, introducing the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. It also introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies.

Format: Paperback / softback
Length: 416 pages
Publication date: 08 December 2022
Publisher: Oxford University Press

Computational neuroscience is a theoretical field that aims to uncover the principles and mechanisms underlying the development, organization, information processing, and mental functions of the nervous system. While it has not been a new area of study, it has only recently gained recognition as a scientific discipline in its own right due to the accumulation of sufficient knowledge. Given the complexity of the field and its crucial role in advancing our understanding of brain function, there has been a longstanding need for an introductory text that demystifies this often complex topic.

The new edition of Fundamentals of Computational Neuroscience builds upon the success and strengths of its predecessors. It provides a comprehensive introduction to the theoretical foundations of neuroscience, with a particular focus on the nature of information processing within the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, providing examples of models of higher-order cognitive functions to demonstrate the advanced insights that can be gained through such studies.

Each chapter in the book begins with an introduction that contextualizes its topic with experimental facts and conceptual questions related to brain function. An additional feature is the inclusion of simple Matlab programs that allow readers to explore many of the mechanisms explained in the book. An accompanying webpage provides downloadable programs for further exploration.

Fundamentals of Computational Neuroscience is an essential text for anyone interested in the brain sciences. It serves as a comprehensive guide that provides a solid foundation for understanding the theoretical principles and mechanisms underlying brain function. Whether you are a student, researcher, or professional in the field, this book will be invaluable in your pursuit of knowledge and understanding of this complex and rapidly evolving field.

Weight: 892g
Dimension: 192 x 245 x 23 (mm)
ISBN-13: 9780192869364
Edition number: 3 Revised edition