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.
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Contents: Preface. Brain and Machine; The Same Principles? Historical Outline. Associative Learning and Synaptic Plasticity. Competition, Lateral Inhibition, and Short-term Memory. Conditioning, Attention, and Reinforcement. Coding and Categorization. Optimization, Control, Decision, and Knowledge Representation. A Few Recent Technical Advances. Appendices: Basic Facts of Neurobiology. Difference and Differential Equations in Neural Networks.
Book by Levine Daniel S
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Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Condizione: Fine. *Price HAS BEEN REDUCED by 10% until Monday, June 1 (SALE item)* 456 pp., Paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Codice articolo ZB1202540
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paperbound, 8vo 439 pp., figs. brain and machine; associative learning and synaptic platicity; coding, control; very good condition. Codice articolo 16266
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paperback. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-0805802681
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