000			01694 a2200193 4500
020			_a9781848726482
040			_cIIT Kanpur
041			_aeng
082			_a612.82 _bL578i3
100			_aLevine, Daniel S.
245			_aIntroduction to neural and cognitive modeling _cDaniel S. Levine
250			_a3rd ed.
260			_bRoutledge _c2019 _aNew York
300			_axiii, 463p.
520			_aThis textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of 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. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.
650			_aNeural networks (Neurobiology)
650			_aNeural networks (Computer science)
942			_cBK
999			_c560355 _d560355