Hebbian Learning and Negative Feedback Networks

• Main Author: Fyfe, Colin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Mathematical statistics.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Probability and Statistics in Computer Science.; Pattern Recognition.; Simulation and Modeling.; Computer Science, general.

This book is the outcome of a decade’s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of...

Table of Contents:

• Single Stream Networks
• Background
• The Negative Feedback Network
• Peer-Inhibitory Neurons
• Multiple Cause Data
• Exploratory Data Analysis
• Topology Preserving Maps
• Maximum Likelihood Hebbian Learning
• Dual Stream Networks
• Two Neural Networks for Canonical Correlation Analysis
• Alternative Derivations of CCA Networks
• Kernel and Nonlinear Correlations
• Exploratory Correlation Analysis
• Multicollinearity and Partial Least Squares
• Twinned Principal Curves
• The Future.