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Jos J. Eggermont

Correlative Learning

A Basis for Brain and Adaptive Systems

Ebook (PDF Format)

This book bridges the communication gap between neuroscientists and engineers through the unifying theme of correlation-based learning Developing brain-style signal processing or machine learning algorithms has attracted many sharp minds from a range of disciplines. Now, coauthored by four researchers with varying backgrounds in signal processing, neuroscience, psychology, and computer science, Correlative Learning unifies the many cross-fertilized ideas in computational neuroscience and signal processing in a common language that will help engineers understand and appreciate the human brain as a highly sophisticated biosystem for building mo… Mehr

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Produktdetails


Weitere Autoren: Becker, Suzanna / Haykin, Simon / Chen, Zhe
  • ISBN: 978-0-470-17144-8
  • EAN: 9780470171448
  • Produktnummer: 13923379
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2008
  • Seitenangabe: 480 S.
  • Plattform: PDF
  • Masse: 14'702 KB

Über den Autor


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.

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