The RISC-V Reader
Computational and Mathematical Modeling of Neural Systems
The Science of Programming
Computational and Mathematical Modeling of Neural Systems
The art of computer programming. 4A : Part 1. Combinatorial algorithms : [the classic work extended and refined]
Computational and Mathematical Modeling of Neural Systems
Theoretische Informatik
Computational and Mathematical Modeling of Neural Systems
Tracking and Data Fusion
Computational and Mathematical Modeling of Neural Systems
Trees, Maps, and Theorems
Computational and Mathematical Modeling of Neural Systems
UML 2 Illustrated
Computational and Mathematical Modeling of Neural Systems
UNIX
Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience
Computational and Mathematical Modeling of Neural Systems
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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pages
477
Year published
2005
Publisher
MIT Press
Issn
0-262-54185-8
Language
en