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Foundations of Human Memory Hardcover – May 18, 2012

ISBN-13: 978-0195333244 ISBN-10: 0195333241 Edition: 1st

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Product Details

  • Hardcover: 368 pages
  • Publisher: Oxford University Press; 1 edition (May 18, 2012)
  • Language: English
  • ISBN-10: 0195333241
  • ISBN-13: 978-0195333244
  • Product Dimensions: 9.3 x 6 x 0.9 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,264,991 in Books (See Top 100 in Books)

Editorial Reviews

Review

"This volume provides a thorough, rigorous and yet eminently readable account of scientific research on human memory...  The book brings together a huge amount of information and represents an important scholarly achievement."
Henry L. Roediger, III, James S. McDonnell Distinguished Professor of Psychology, Washington University


"In this book, Michael Kahana gives a beautifully lucid treatment of how theories of memory have evolved in response to experimental data, from the verbal learning era to the present.  Combining mathematical rigor and extraordinary historical scholarship, Kahana has created the first truly indispensable memory textbook of the 21st century."
Kenneth Norman, Associate Professor of Psychology, Princeton University

From the Back Cover

Advance Praise for Foundations of Human Memory:

"This volume provides a thorough, rigorous and yet eminently readable account of scientific research on human memory following in the great tradition begun by Ebbinghaus.  Michael Kahana reviews both data and theory on the classic tasks of paired-associate learning, free recall and serial recall, providing a comprehensive treatment that all researchers interested in the scientific study of memory will want to read.  The book brings together a huge amount of information and represents an important scholarly achievement."
Henry L. Roediger, III, James S. McDonnell Distinguished Professor of Psychology at Washington University at St. Louis
"In this book, Michael Kahana gives a beautifully lucid treatment of how theories of memory have evolved in response to experimental data, from the verbal learning era to the present.  Combining mathematical rigor and extraordinary historical scholarship, Kahana has created the first truly indispensable memory textbook of the 21st century."
Kenneth Norman, Associate Professor of Psychology, Princeton University

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By Daniel on January 25, 2014
Format: Kindle Edition Verified Purchase
Kahana, an acknowledged expert on memory, provides a thoroughgoing discussion of some aspects of human memory. However, the book is quite limited in scope, being focused on formal models of phenomena primarily involving verbal learning. While the author incorporates a few brief sections describing insights from cognitive neuroscience, those unfortunately remain marginal to the thrust of the presentation. Also missing are any discussion of priming and implicit memory, procedural learning, the relationship between emotion and memory, or conditioning. There is also not much of an attempt to connect ecological aspects of human memorial competence with the laboratory models which Kahana indeed expounds with great erudition and insight. Readers will find very helpful expositions of a selection of issues relating to the classic models of memory research, but must look elsewhere for a comprehensive account of human memory.
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0 of 1 people found the following review helpful By O. Smith on August 3, 2013
Format: Hardcover
I'm new to the topic of memory and memory modeling, and found "Foundations of Human Memory" to be a very good introduction. The author alternates between discussing specific experiments on memory that have been done (most experiments involve having people memorize lists of items for later recall), and discussing different ways of replicating the same results using computer models, trying to discover how memories may be stored and accessed. The main thing to take away is that human memory can be studied by performing experiments that isolate very specific tasks - this is more about statistics and empirical observations than speculation.

The book doesn't cover much more than how lists of items may be stored and accessed in the brain (I imagine this is because it would be hard to perform experiments on broader functions of memory). I got stuck on the introduction to neural networks for a bit, but that's just because I'm not that great with math and really wanted to understand what the author was saying in depth before continuing. Otherwise, the tone is pretty straightforward and readable.
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