Literature DB >> 11253835

Quantitative modeling of category learning in amnesic patients.

J V Filoteo1, W T Maddox, J D Davis.   

Abstract

Category rule learning was examined in two amnesic patients using the perceptual categorization task (e.g., Ashby & Gott, 1988; Filoteo & Maddox, 1999). Traditional accuracy-based analyses as well as quantitative model-based analyses were performed. Unlike accuracy-based analyses, the model-based approach allowed us to examine both categorization rule learning and variability in the trial-by-trial application of the participant's categorization rule. The results indicated that the amnesic patients were as accurate as the controls in learning a complex, nonlinear rule over a large number of trials. The model-based analysis indicated that, in general, the amnesic patients learned the categorization rule as well as controls and applied their rule as consistently as controls. Categorization performance on a second day of testing revealed that amnesic patients can retain the categorization rule over a 24-h period. These results suggest that the brain regions damaged in amnesia are not involved in category learning or memory for the category structures.

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Year:  2001        PMID: 11253835     DOI: 10.1017/s1355617701711010

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  18 in total

1.  A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli.

Authors:  S R Zaki; R M Nosofsky
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

Review 2.  Toward a unified theory of decision criterion learning in perceptual categorization.

Authors:  W Todd Maddox
Journal:  J Exp Anal Behav       Date:  2002-11       Impact factor: 2.468

3.  Observational versus feedback training in rule-based and information-integration category learning.

Authors:  F Gregory Ashby; W Todd Maddox; Corey J Bohil
Journal:  Mem Cognit       Date:  2002-07

4.  Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients.

Authors:  W Todd Maddox; J Vincent Filoteo; Dagmar Zeithamova
Journal:  J Math Psychol       Date:  2010-02-01       Impact factor: 2.223

5.  Cognitive complexity effects in perceptual classification are dissociable.

Authors:  W Todd Maddox; J Scott Lauritzen; A David Ing
Journal:  Mem Cognit       Date:  2007-07

Review 6.  Reward-related learning via multiple memory systems.

Authors:  Mauricio R Delgado; Kathryn C Dickerson
Journal:  Biol Psychiatry       Date:  2012-02-24       Impact factor: 13.382

Review 7.  Quantitative modeling of category learning deficits in various patient populations.

Authors:  J Vincent Filoteo; W Todd Maddox; F Gregory Ashby
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

8.  Abstract Memory Representations in the Ventromedial Prefrontal Cortex and Hippocampus Support Concept Generalization.

Authors:  Caitlin R Bowman; Dagmar Zeithamova
Journal:  J Neurosci       Date:  2018-02-07       Impact factor: 6.167

9.  Rule-based and information-integration category learning in normal aging.

Authors:  W Todd Maddox; Jennifer Pacheco; Maia Reeves; Bo Zhu; David M Schnyer
Journal:  Neuropsychologia       Date:  2010-06-12       Impact factor: 3.139

10.  Brain activity across the development of automatic categorization: a comparison of categorization tasks using multi-voxel pattern analysis.

Authors:  Fabian A Soto; Jennifer G Waldschmidt; Sebastien Helie; F Gregory Ashby
Journal:  Neuroimage       Date:  2013-01-17       Impact factor: 6.556

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