Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
by Peter Dayan
On This Page
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 show more 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. show lessTags
Recommendations
Member Reviews
Unique in its breath and scope. Some parts are hard to read if you are not neuroscientist.
Ratings
Members
- Recently Added By
Author Information
6 Works 183 Members
Peter Dayan is Professor of Computational Neuroscience at the Gatsby Computational Neuroscience Unit at University College London
Classifications
- Genres
- Nonfiction, Science & Nature, General Nonfiction, Technology
- DDC/MDS
- 573.80113 — Natural sciences & mathematics Biology Specific physiological systems in animals, regional histology and physiology in animals Senses
- LCC
- QP363.3 .D39 — Science Physiology Physiology Neurophysiology and neuropsychology
- BISAC
Statistics
- Members
- 172
- Popularity
- 189,804
- Reviews
- 1
- Rating
- (3.69)
- Languages
- English
- Media
- Paper, Ebook
- ISBNs
- 4
