Literature DB >> 17874597

Challenging the role of implicit processes in probabilistic category learning.

Ben R Newell1, David A Lagnado, David R Shanks.   

Abstract

Considerable interest in the hypothesis that different cognitive tasks recruit qualitatively distinct processing systems has led to the proposal of separate explicit (declarative) and implicit (procedural) systems. A popular probabilistic category learning task known as the weather prediction task is said to be ideally suited to examine this distinction because its two versions, "observation" and "feedback," are claimed to recruit the declarative and procedural systems, respectively. In two experiments, we found results that were inconsistent with this interpretation. In Experiment 1, a concurrent memory task had a detrimental effect on the implicit (feedback) version of the task. In Experiment 2, participants displayed comparable and accurate insight into the task and their judgment processes in the feedback and observation versions. These findings have important implications for the study of probabilistic category learning in both normal and patient populations.

Entities:  

Mesh:

Year:  2007        PMID: 17874597     DOI: 10.3758/bf03194098

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  14 in total

1.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

2.  Single-system models and interference in category learning: commentary on Waldron and Ashby (2001).

Authors:  Robert M Nosofsky; John K Kruschke
Journal:  Psychon Bull Rev       Date:  2002-03

3.  How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.

Authors:  Mark A Gluck; Daphna Shohamy; Catherine Myers
Journal:  Learn Mem       Date:  2002 Nov-Dec       Impact factor: 2.460

4.  Impaired probabilistic category learning in hypoxic subjects with hippocampal damage.

Authors:  Ramona O Hopkins; Catherine E Myers; Daphna Shohamy; Steven Grossman; Mark Gluck
Journal:  Neuropsychologia       Date:  2004       Impact factor: 3.139

5.  Role of the basal ganglia in category learning: how do patients with Parkinson's disease learn?

Authors:  D Shohamy; C E Myers; S Onlaor; M A Gluck
Journal:  Behav Neurosci       Date:  2004-08       Impact factor: 1.912

6.  Dual-task interference in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2006-03

7.  Secondary-task effects on classification learning.

Authors:  Karin Foerde; Russell A Poldrack; Barbara J Knowlton
Journal:  Mem Cognit       Date:  2007-07

8.  Insight and strategy in multiple-cue learning.

Authors:  David A Lagnado; Ben R Newell; Steven Kahan; David R Shanks
Journal:  J Exp Psychol Gen       Date:  2006-05

Review 9.  Human category learning.

Authors:  F Gregory Ashby; W Todd Maddox
Journal:  Annu Rev Psychol       Date:  2005       Impact factor: 24.137

10.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

View more
  15 in total

1.  The dimensionality of perceptual category learning: a state-trace analysis.

Authors:  Ben R Newell; John C Dunn; Michael Kalish
Journal:  Mem Cognit       Date:  2010-07

2.  Explicit and implicit reinforcement learning across the psychosis spectrum.

Authors:  Deanna M Barch; Cameron S Carter; James M Gold; Sheri L Johnson; Ann M Kring; Angus W MacDonald; Diego A Pizzagalli; J Daniel Ragland; Steven M Silverstein; Milton E Strauss
Journal:  J Abnorm Psychol       Date:  2017-04-13

3.  Distinguishing the contributions of implicit and explicit processes to performance of the weather prediction task.

Authors:  Amanda L Price
Journal:  Mem Cognit       Date:  2009-03

4.  Neurocognitive correlates of treatment response in children with Tourette's Disorder.

Authors:  Susanna W Chang; Joseph F McGuire; John T Walkup; Douglas W Woods; Lawrence Scahill; Sabine Wilhelm; Alan L Peterson; James Dziura; John Piacentini
Journal:  Psychiatry Res       Date:  2018-01-02       Impact factor: 3.222

5.  Parallel contributions of distinct human memory systems during probabilistic learning.

Authors:  Kathryn C Dickerson; Jian Li; Mauricio R Delgado
Journal:  Neuroimage       Date:  2010-11-05       Impact factor: 6.556

6.  Strategy use in probabilistic categorization by rhesus macaques (Macaca mulatta) and capuchin monkeys (Cebus [Sapajus] apella).

Authors:  Will Whitham; David A Washburn
Journal:  J Comp Psychol       Date:  2020-05-14       Impact factor: 2.231

7.  Probabilistic category learning in developmental dyslexia: Evidence from feedback and paired-associate weather prediction tasks.

Authors:  Yafit Gabay; Eli Vakil; Rachel Schiff; Lori L Holt
Journal:  Neuropsychology       Date:  2015-03-02       Impact factor: 3.295

8.  What Is the Weather Prediction Task Good for? A New Analysis of Learning Strategies Reveals How Young Adults Solve the Task.

Authors:  Emilie Bochud-Fragnière; Pamela Banta Lavenex; Pierre Lavenex
Journal:  Front Psychol       Date:  2022-06-13

Review 9.  Linking neurogenetics and individual differences in language learning: the dopamine hypothesis.

Authors:  Patrick C M Wong; Kara Morgan-Short; Marc Ettlinger; Jing Zheng
Journal:  Cortex       Date:  2012-03-30       Impact factor: 4.027

10.  The effect of newly trained verbal and nonverbal labels for the cues in probabilistic category learning.

Authors:  Fotis A Fotiadis; Athanassios Protopapas
Journal:  Mem Cognit       Date:  2014-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.