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 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.
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Artist: Dayan, Peter, Abbott, Laurence F
Number of Pages: 480 Pages
Publication Name: Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems
Language: English
Publisher: MIT Press
Subject: Neuroscience, Life Sciences / Neuroscience, Cognitive Neuroscience & Cognitive Neuropsychology, Cognitive Psychology & Cognition
Publication Year: 2005
Item Height: 1 in
Type: Textbook
Item Weight: 33.3 Oz
Subject Area: Science, Psychology, Medical
Item Length: 10 in
Author: Laurence F. Abbott, Peter Dayan
Item Width: 8 in
Series: Computational Neuroscience Ser.
Format: Trade Paperback
