Correlative Learning ：A Basis for Brain and Adaptive Systems ( Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control )

Publication subTitle ：A Basis for Brain and Adaptive Systems

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

Author： Zhe Chen  

Publisher： John Wiley & Sons Inc‎

Publication year： 2008

E-ISBN: 9780470171448

P-ISBN(Hardback):  9780470044889

Subject： R338.64 Memory

Language： ENG

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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.

Chapter

CONTENTS

pp.：  1 – 9

Foreword

pp.：  9 – 15

Preface

pp.：  15 – 17

Acknowledgments

pp.：  17 – 23

Acronyms

pp.：  23 – 25

Introduction

pp.：  25 – 29

1 THE CORRELATIVE BRAIN

pp.：  29 – 36

2 Correlation in Signal Processing

pp.：  36 – 100

3 correlation-based neural learning and machine learning

pp.：  100 – 157

4 Correlation-Based Kernel Learning

pp.：  157 – 246

5 Correlative Learning in a Complex-Valued Domain

pp.：  246 – 277

6 ALOPEX: A CORRELATION-BASED LEARNING PARADIGM

pp.：  277 – 311

7 Case Studies

pp.：  311 – 335

8 Discussion

pp.：  335 – 384

Appendix A Autocorrelation and Cross-Correlation Functions

pp.：  384 – 391

Appendix B Stochastic Approximation

pp.：  391 – 396

Appendix C Primer on Linear Algebra

pp.：  396 – 399

Appendix D Probability Density and Entropy Estimators

pp.：  399 – 406

Appendix E Expectation–Maximization Algorithm

pp.：  406 – 412

Index

pp.：  412 – 469

LastPages

pp.：  469 – 476

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