Product Description

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modelling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyses the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site, http://people.brandeis.edu/~abbott/book/.

Product Details

• Amazon Sales Rank: #97908 in Books
• Published on: 2005-09-16
• Original language: English
• Number of items: 1
• Binding: Paperback
• 480 pages

Review
"Not only does the book set a high standard for theoretical neuroscience, it defines the field." - Dmitri Chklovskii, Neuron "This is the first textbook to present a unified introduction to the entire spectrum of topics in what is now known as theoretical, or, more commonly, computational neuroscience.... It will not be surprising if this book becomes the standard text for students and researchers entering theoretical neuroscience for years to come." - M. Brandon Westover, Philosophical Psychology"

About the Author
Peter Dayan is on the faculty of the Gatsby Computational Neuroscience Unit at University College London. L. F. Abbott is Nancy Lurie Marks Professor of Neuroscience and Director of the Volen Center for Complex Systems at Brandeis University. He is the co-editor of Neural Codes and Distributed Representations (MIT Press, 1999).