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Foundations of Human Memory provides an introduction to the scientific study of human memory with an emphasis on both the major theories of memory and the laboratory studies that have been used to test those theories and inspire their further development. Written with the undergraduate student in mind, the text assumes no specific background in the subject, but a general familiarity with scientific method and quantitative approaches to the treatment of data. Foundations of human memory is organized around the major empirical paradigms used to study memory in the laboratory and the theories used to explain data obtained using those paradigms. The text begins with a focus on memory for individual items, building up to memory for associations between items, and finally to memory for entire sequences of items and the problem of memory search. Several major theories of memory are considered in detail, including strength theory, summed-similarity theory, neural network based theories, retrieved-context theory, and theories based on the division of memory into separate short-term and long-term storage systems. The text emphasizes basic research over applied problems, but brings in real-world examples and neuroscientific evidence as appropriate.
This text investigates the fundamental mechanisms of human memory by bridging theoretical frameworks with empirical laboratory data. Michael Jacob Kahana, a prominent researcher in the field of memory and cognition, utilizes his extensive academic background to synthesize complex experimental findings into a coherent pedagogical structure. The book argues that understanding memory requires a dual focus on the paradigms used to isolate cognitive processes and the mathematical or conceptual models that explain the resulting data.
What You Will Find
Experts and educators recognize this work as a foundational text for undergraduate students entering the field of cognitive psychology. Readers frequently note the clarity of the prose and the logical progression from basic item memory to complex retrieval systems.
Page Count:
349
Publication Date:
2014-05-01
Publisher:
Oxford University Press
ISBN-10:
0199387648
ISBN-13:
9780199387649
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