Hebbian Learning and Negative Feedback Networks

1. Introduction

Part I. Single Stream Networks

2. Background

3. The Negative Feedback Network

4. Peer-Inhibitory Neurons

5. Multiple Cause Data

6. Exploratory Data Analysis

7. Topology Preserving Maps

8. Maximum Likelihood Hebbian Learning

Part II. Dual Stream Networks

9. Two Neural Networks for Canonical Correlation Analysis

10. Alternative Derivations of CCA Networks

11. Kernel and Nonlinear Correlations

12. Exploratory Correlation Analysis

13. Multicollinearity and Partial Least Squares

14. Twinned Principal Curves

15. The Future

DRM-restrictions

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Keywords: COMPUTERS / Computer Science COM014000