Correlative Learning

Name: Correlative Learning
SKU: 3075735
Price: 481.00 NZD
Availability: InStock

A Basis for Brain and Adaptive Systems

By:

Format:

Hardback

Series:

Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

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Description

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.

Author Biography:

Zhe Chen, PhD, is currently a Research Fellow in the Neuroscience Statistics Research Laboratory at Harvard Medical School. Simon Haykin, PhD, DSc, is a Distinguished University Professor in the Department of Electrical and Computer Engineering at McMaster University, Ontario, Canada. Jos J. Eggermont, PhD, is a Professor in the Departments of Physiology & Biophysics and Psychology at the University of Calgary, Alberta, Canada. Suzanna Becker, PhD, is a Professor in the Department of Psychology, Neuroscience, and Behavior at McMaster University, Ontario, Canada.

Release date NZ

November 6th, 2007

Author

Audience

Professional & Vocational

Pages

480

Series

Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Dimensions

163x241x29

ISBN-13

9780470044889

Product ID

3075735

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