000			01909nam a22001937a 4500
008			210827b |||||||| |||| 00| 0 eng d
020			_a 9781135692247
020			_a1135692246
082			_a 612.8/2
100			_aDaniel S. Levine _923793
245			_aIntroduction to Neural and Cognitive Modeling
250			_a2nd Edition, revised
260			_bPsychology Press _c2000
300			_a512 pages
500			_a Includes bibliographical references and index
520			_aThis thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/
654			_xPsychology › Cognitive Psychology & Cognition
942			_2ddc _cEB
999			_c2472 _d2472