This text reviews the major theories of the mechanistic organization of cognitive functions -- learning, perception, categorization, motor control and decision making. An excellent introduction to neural networks, it integrates insights from neurobiology, psychology, computer science, and mathematics, making it particularly suitable for those with backgrounds in any of these fields. The history of neural networks and some of their major organizing principles are outlined here, as is the development of cognitive functions -- from the simple to the complex. Computer simulation exercises are also included, some of which implement known models, while others ask students to design networks.

Review

The book offers an in-depth introduction to the realm of neural networks and is suitable for advanced undergraduate and graduate students....It manages to convey the diversity and applicability of the neural network field. The book is well written, well documented, and inspiring.
—Cognitive Science Society Newsletter

While numerous textbooks on artificial neural networks have been published, textbooks on biologically/psychologically oriented neural networks are much fewer in number. Therefore, this book continues to keep its niche. It remains as an attractive choice for an introductory textbook...this is a welcome update of a well-conceived and well-written introductory textbook.
—Neural Networks

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