Introduction to Neural Networks

Overview. Introduction. Neurobiology. Mathematical theory. Theoretical foundations of neural networks. A biological inspiration. Artificial neurons. How a neural network learns. Layering of neural networks. Neural networks and other information processing approaches. Overview of brain physiology. Recent results in neurobiology. Map representations. Self–organisation. Network circuitry. Network dynamics. Learning. Attention. Organizing principles. Tasks neural networks perform and representative models. Tasks that networks perform. Illustrative neural network models. Available implementation tools. A simulated world. Typical applications: the Kanji character recogniser, multi–layer. Vowel classifier. Detailed approaches: single and multi layer perceptrons. Recurrent networks. Global issues. Neural networks and other disciplines. Toward a theory of neural networks. Technologies and tools for implementing neural networks. Issues in neural network research. References.