Full name: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Author: Peter Dayan Year: 2001 Rank: Rating: Original Rating: Pop Rating: Genres/categories: Science, Non Fiction, Psychology Purchase/reserch links: Goodreads Amazon LibraryThing ISBNs: 9780262541855 0262541858

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 modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes 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. Similar books: Networks of the Brain by Olaf Sporns Principles of Neural Science by Eric R. Kandel Neuroscience by Dale Purves Being Mortal by Atul Gawande Far From the Tree by Andrew Solomon Next of Kin by Roger Fouts DMT: The Spirit Molecule by Rick Strassman The Shallows by Nicholas Carr The Red Queen by Matt Ridley Awakenings by Oliver Sacks How Not to Be Wrong by Jordan Ellenberg The Human Brain Book by Rita Carter Last Child in the Woods by Richard Louv The Future of the Mind by Michio Kaku Behave by Robert M. Sapolsky The Runaway Species by David Eagleman The Lucifer Effect by Philip Zimbardo Through the Language Glass by Guy Deutscher The Mind's Eye by Oliver Sacks The Social Animal by Elliot Aronson