“Howes' new textbook, Human Memory, offers a thorough and expansive introduction to the science of remembering and forgetting. With highly accessible prose, Howes keeps the student clearly in mind as she deftly weaves together traditional and novel approaches to memory research. Unlike any other memory textbook on the market… it looks to be a definite winner in the classroom.”

—James S. Nairne, Purdue University

Presented in a clear and accessible format, Human Memory: Structures and Images offers students a comprehensive overview of research in human memory. Providing a theoretical background for the research, author Mary B. Howes covers three major areas—mainstream experimental research; naturalistic research; and work in the domains of the amnesias, malfunctions of memory, and neuroscience.

Key Features:

Presents extensive coverage of naturalistic research: Areas of current naturalistic research, such as eyewitness testimony and courtroom procedures, are included, as are the functioning of memory under atypical or abnormal conditions and traumatic and repressed memories.; Emphasizes the constructivist position: Offering greater coverage than other books on this model of memory, this text also examines the debate between constructivist and nonconstructivist theories.; Offers two chapters online on computers and memory:Chapter 1 on computer functioning simulation of memory and Chapter 2 on computer models of long-term memory are easily accessed online. See Human Memory in our online catalog at http://www.sagepub.com and click on “Sample Materials” to view these chapters.; Supplies instructors with thoughtfully crafted support material: An Instructor's Resources CD-ROM, including PowerPoint slides, study quizzes, test items, and worksheets, is available to all qualified adopters.

Intended Audience:

This text is designed for advanced undergraduate and graduate courses such as Memory, Human Memory, Memory and Cognition, and Memory and Forgetting.

Long-Term Memory: Ongoing Research

Long-term memory: Ongoing research

Overview

  • Network, spreading-activation models posit that activation spreads from representation to representation along links. Success in recall depends on the level of activation of the memory content.
  • Connectionist computer simulations of semantic memory are spreading-activation models. They show properties of generalization and inference.
  • Anderson's ACT* and ACT-R are spreading-activation, symbolic artificial intelligence (AI) computer simulations. Cues increase the activation level of the content that they access.
  • Propositional models of memory posit that semantic representation possesses an organization similar to the organization of human language. ACT includes propositional codes.
  • Global memory/compound cue models assume that successful recall depends on the relationship between cues in working memory and long-term memory (LTM) content. Cues contact material in LTM and retrieve that ...
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