Title
Modeling Brain Function: The World of Attractor Neural Networks,Used
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Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. Substantial progress in understanding memory, the learning process, and selforganization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural networks. The author presents a coherent and clear, nontechnical view of all the basic ideas and results. More technical aspects are restricted to special sections and appendices in each chapter.
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- Q: What is the main topic of 'Modeling Brain Function: The World of Attractor Neural Networks'? A: The book focuses on the principles and mechanisms underlying brain function, particularly through the lens of attractor neural networks and their parallels with statistical and nonlinear cooperative systems in physics.
- Q: Who is the author of this book? A: The author of 'Modeling Brain Function' is Daniel J. Amit.
- Q: When was the book published? A: The book was published on June 26, 1992.
- Q: What condition is the book in? A: The book is listed as being in 'New' condition.
- Q: How many pages does the book contain? A: The book contains a total of 524 pages.
- Q: What type of binding does the book have? A: The book is available in paperback binding.
- Q: What are the key features of this book? A: Key features include a nontechnical overview of basic ideas related to neural networks and specialized sections for more technical insights.
- Q: Is this book suitable for beginners in neuroscience? A: Yes, the book presents concepts in a clear and coherent manner, making it accessible for beginners while also providing detailed sections for advanced readers.
- Q: Does this book include any illustrations or diagrams? A: The book likely includes diagrams and illustrations to elucidate complex concepts, although specifics would depend on the edition.
- Q: Can this book help in understanding memory and learning processes? A: Yes, it explores the properties of models of neural networks, providing insights into understanding memory, learning processes, and self-organization.