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This revised second edition provides the reader-friendly orientation and strong research base of the first edition along with substantial updates in three key technical areas: neuroscience, action research, and neural networks. This book offers the latest research developments in imaging methods, declarative knowledge, associative learning, and implicit vs. explicit memory, and countless other topics. It fully integrates the important advances in cognitive psychology during the last decade into its presentation of traditional mainstream topics. Shows links to allied disciplines, such as artificial intelligence, computational linguistics, and problem solving, to add interest and context. For professionals in the field of psychology.
This text investigates the mechanisms of human cognition by synthesizing traditional psychological theories with contemporary advancements in neuroscience and computational modeling. Karl Haberlandt, an established academic in the field, utilizes a research-heavy framework to bridge the gap between classical cognitive studies and modern technological applications. The book serves as a comprehensive update, integrating data from the late 20th century to provide a rigorous foundation for students and professionals alike.
What You Will Find
The subject matter points to a dense, specialist text designed for academic rigor and professional reference. Its focus on integrating neuroscience and computational theory suggests an approach that prioritizes empirical data and technical precision over introductory simplification.
Page Count:
512
Publication Date:
1997-01-09
Publisher:
Pearson
ISBN-10:
0205264166
ISBN-13:
9780205264162
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