Hebbian Learning and Negative Feedback Networks

Authors:

ISBN: 978-1-85233-883-1 (Print) 978-1-84628-118-1 (Online)

Table of contents (15 chapters)

  1. Introduction

    1. No Access

      Book Chapter

      Pages 1-5

      Introduction

  2. Single Stream Networks

    1. Front Matter

      Pages 7-10

    2. No Access

      Book Chapter

      Pages 11-29

      Background

    3. No Access

      Book Chapter

      Pages 31-56

      The Negative Feedback Network

    4. No Access

      Book Chapter

      Pages 57-84

      Peer-Inhibitory Neurons

    5. No Access

      Book Chapter

      Pages 85-109

      Multiple Cause Data

    6. No Access

      Book Chapter

      Pages 111-136

      Exploratory Data Analysis

    7. No Access

      Book Chapter

      Pages 137-168

      Topology Preserving Maps

    8. No Access

      Book Chapter

      Pages 169-186

      Maximum Likelihood Hebbian Learning

  3. Dual Stream Networks

    1. Front Matter

      Pages 187-190

    2. No Access

      Book Chapter

      Pages 191-208

      Two Neural Networks for Canonical Correlation Analysis

    3. No Access

      Book Chapter

      Pages 209-216

      Alternative Derivations of CCA Networks

    4. No Access

      Book Chapter

      Pages 217-246

      Kernel and Nonlinear Correlations

    5. No Access

      Book Chapter

      Pages 247-273

      Exploratory Correlation Analysis

    6. No Access

      Book Chapter

      Pages 275-289

      Multicollinearity and Partial Least Squares

    7. No Access

      Book Chapter

      Pages 291-307

      Twinned Principal Curves

    8. No Access

      Book Chapter

      Pages 309-313

      The Future