Ritter H., Martinetz T., Schulten K. Neural Computation and Self-organizing Maps

N. Y.: Addison-Wesley, 1992. — 293 p.This book is a comprehensive introduction to neural networks and neural information processing. It describes the most important models of neural networks and how they contribute to our understanding of information and organization processes in the brain. One of the few generally recognized organizational principles of the nervous system, the development of cortical feature maps (brain maps), is described in detail, and the reader is introduced to the biological background and the mathematical properties of self-organizing maps as important functional building blocks of the brain. Examples show how neural networks can solve important information processing tasks, including the development of sensory maps, the traveling salesman problem, and visuomotor control of robots.Introduction and Overview
Contemporary View of Brain Function
Biological Background
Neural Network Models
Kohonen's Network Model
Kohonen's Network for Modeling the Auditory Cortex of a Bat
Application to the Traveling Salesman Problem
Modeling the Somatotopic Map
Extension of Kohonen's Model
The Oculomotor System: a Biological Example
Problems of Robot Control
Visuomotor Coordination of a Robot Arm
Control of a Manipulator by a Hierarchical Network
Learning Ballistic Movements of a Robot Arm
Mathematical Analysis of Kohonen's Model
Local Linear Mappings