6. ALOPEX: A Correlation-Based Learning Paradigm

  1. Zhe Chen1,
  2. Simon Haykin2,
  3. Jos J. Eggermont3 and
  4. Suzanna Becker2

Published Online: 1 MAR 2007

DOI: 10.1002/9780470171455.ch6

Correlative Learning: A Basis for Brain and Adaptive Systems

Correlative Learning: A Basis for Brain and Adaptive Systems

How to Cite

Chen, Z., Haykin, S., Eggermont, J. J. and Becker, S. (2007) ALOPEX: A Correlation-Based Learning Paradigm, in Correlative Learning: A Basis for Brain and Adaptive Systems, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470171455.ch6

Author Information

  1. 1

    RIKEN Brain Science Institute, Japan

  2. 2

    McMaster University, Canada

  3. 3

    University of Calgary, Canada

Publication History

  1. Published Online: 1 MAR 2007
  2. Published Print: 27 SEP 2007

ISBN Information

Print ISBN: 9780470044889

Online ISBN: 9780470171455

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Keywords:

  • pattern extraction-optimization procedure;
  • sensory trigger features;
  • detectors' generated patterns

Summary

This chapter contains sections titled:

  • Background

  • The Basic ALOPEX Rule

  • Variants of ALOPEX

  • Discussion

  • Monte Carlo Sampling-Based ALOPEX

  • Appendix 6A: Asymptotic Analysis of ALOPEX Process

  • Appendix 6B: Asymptotic Convergence Analysis of 2t-ALOPEX

  • Bibliographical Notes

  • Notes