Abstract

The project attempts to produce a theory of storage in and retrieval from human memory, using a Bayesian-based modeling approach (termed REM), rooted in principles of optimized processes operating in a cognitive environment constrained by capacity limitations. The approach will involve modeling of data collected from a wide variety of tasks emphasizing different domains of cognition; in each testing of recognition and recall using free response and signal-to-respond will be the normative experimental method. The domains include: 1) Episodic memory (recognition, associative recognition, cued recall, free recall), emphasizing the role of context in storage and retrieval. 2) Knowledge retrieval. 3) Implicit memory and long-term priming. These latter two domains will include studies of naming, perceptual identification, lexical decision, production of associates, animacy judgments, stem- and fragment-completion. 3) Short-term priming (negative priming). 4) Perceptual benefits due to priming (both long- and short-term). 5)Visual search (to establish one key capacity limitation and its nature). To develop the theory, we will explore response time and accuracy (and their relation) as measures of underlying processing mechanisms. We shall also develop means to replace the currently abstract features of the REM modeling framework with 'real' features obtained through new forms of data analysis.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH012717-37
Application #
7023093
Study Section
Special Emphasis Panel (ZRG1-BBBP-4 (02))
Program Officer
Quinn, Kevin J
Project Start
1977-05-01
Project End
2008-02-28
Budget Start
2006-03-01
Budget End
2008-02-28
Support Year
37
Fiscal Year
2006
Total Cost
$252,344
Indirect Cost

  Institution

Name
Indiana University Bloomington
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401

  Publications

Hotaling, Jared M; Cohen, Andrew L; Shiffrin, Richard M et al. (2015) The Dilution Effect and Information Integration in Perceptual Decision Making. PLoS One 10:e0138481
Mueller, Shane T; Weidemann, Christoph T (2012) Alphabetic letter identification: effects of perceivability, similarity, and bias. Acta Psychol (Amst) 139:19-37
Cohen, Andrew L; Sanborn, Adam N; Shiffrin, Richard M (2008) Model evaluation using grouped or individual data. Psychon Bull Rev 15:692-712
Cohen, Andrew L; Shiffrin, Richard M; Gold, Jason M et al. (2007) Inducing features from visual noise. J Vis 7:15
Gold, Jason M; Cohen, Andrew L; Shiffrin, Richard (2006) Visual noise reveals category representations. Psychon Bull Rev 13:649-55