This textbook provides a comprehensive introduction to the field of neural networks, thoroughly revised and updated from the previous editions of 1991 and 2000. Concentrating on networks for modeling brain processes involved in cognitive and behavioral functions, it delves into the philosophy of modeling and the history of the field starting from the mid-1940s. Part one explores past models of associative learning and short-term memory, providing a foundation for understanding more complex recent models. Part two reviews recent experimental findings in cognitive neuroscience, discussing models related to conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions.

To help ground the reader, two appendices are included: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. Additionally, the book features equations, practice exercises, and thought experiments to aid in comprehension and application of the concepts discussed.