Hebbian Learning and Negative Feedback Networks
Introduction Part I - Single Stream Networks Background The Negative Feedback Network Peer-Inhibitory Neurons Multiple Cause Data Exploratory Data Analysis Topology Preserving Maps Maximum Likelihood Hebbian Learning Part II - 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 App. A. Negative Feedback Artificial Neural Networks B. Previous Factor Analysis Models C. Related Models for ICA D. Previous Dual Stream Approaches E. Data Sets References Index