Neural networks and neural engineering in the wide sense are among the most rapidly developing scientific fields today. The field is interdisciplinary in its nature, and the success formula is to combine expertise and experience from several different fields. This is the second book in a four-volume series the basic idea behind which is to combine expertise and experience of contributing authors from a number of different scientific disciplines. The style and structure of the books are oriented to those who need to get a broad insight into the state-of-the-art developments in the field. Each book in the series includes three parts: concepts, applications and implementations.