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

本书是对神经网络和神经信息处理的全面介绍。它描述了最重要的神经网络模型，以及它们如何促进我们对大脑中信息和组织过程的理解。书中详细描述了神经系统少数几个公认的组织原则之一，即皮质特征图（脑图）的发展，并向读者介绍了自组织图作为大脑重要功能构件的生物学背景和数学特性。例子显示神经网络如何解决重要的信息处理任务，包括感官地图的发展、旅行推销员问题和机器人的视觉运动控制。

大脑功能的当代观点

生物学背景

神经网络模型

科霍宁的网络模型

用于模拟蝙蝠听觉皮层的科霍宁网络

应用于旅行推销员问题

躯干图的建模

科霍宁模型的扩展

眼球运动系统：一个生物实例

机器人控制的问题

机器人手臂的视觉运动协调

分层网络对机械手的控制

学习机器人手臂的弹道运动

科霍宁模型的数学分析

局部线性映射