Literature DB >> 14979813

Distinctiveness and correlation in conceptual structure: behavioral and computational studies.

Billi Randall1, Helen E Moss, Jennifer M Rodd, Mike Greer, Lorraine K Tyler.   

Abstract

Patients with category-specific deficits have motivated a range of hypotheses about the structure of the conceptual system. One class of models claims that apparent category dissociations emerge from the internal structure of concepts rather than fractionation of the system into separate substores. This account claims that distinctive properties of concepts in the living domain are vulnerable because of their weak correlation with other features. Given the assumption that mutual activation among correlated properties produces faster activation in the normal system, the authors predicted a disadvantage for the distinctive features of living things for unimpaired adults. Results of a speeded feature verification study supported this prediction, as did a computational simulation in which networks mapped from orthography to semantics.

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Year:  2004        PMID: 14979813     DOI: 10.1037/0278-7393.30.2.393

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  27 in total

1.  An integrated neural model of semantic memory, lexical retrieval and category formation, based on a distributed feature representation.

Authors:  Mauro Ursino; Cristiano Cuppini; Elisa Magosso
Journal:  Cogn Neurodyn       Date:  2011-03-24       Impact factor: 5.082

2.  Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory.

Authors:  George S Cree; Chris McNorgan; Ken McRae
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2006-07       Impact factor: 3.051

3.  The activation of semantic memory: effects of prime exposure, prime-target relationship, and task demands.

Authors:  Steve Bueno; Cheryl Frenck-Mestre
Journal:  Mem Cognit       Date:  2008-06

4.  Finding features, figuratively.

Authors:  Sarah H Solomon; Sharon L Thompson-Schill
Journal:  Brain Lang       Date:  2017-07-21       Impact factor: 2.381

5.  RealPic: Picture norms of real-world common items.

Authors:  Cristiane Souza; Margarida V Garrido; Magda Saraiva; Joana C Carmo
Journal:  Behav Res Methods       Date:  2021-02-10

6.  Semantic integration by pattern priming: experiment and cortical network model.

Authors:  Frédéric Lavigne; Dominique Longrée; Damon Mayaffre; Sylvie Mellet
Journal:  Cogn Neurodyn       Date:  2016-09-17       Impact factor: 5.082

7.  Implementing a concept network model.

Authors:  Sarah H Solomon; John D Medaglia; Sharon L Thompson-Schill
Journal:  Behav Res Methods       Date:  2019-08

8.  Distinctive semantic features in the healthy adult brain.

Authors:  Megan Reilly; Natalya Machado; Sheila E Blumstein
Journal:  Cogn Affect Behav Neurosci       Date:  2019-04       Impact factor: 3.282

9.  Hemispheric lateralization of semantic feature distinctiveness.

Authors:  M Reilly; N Machado; S E Blumstein
Journal:  Neuropsychologia       Date:  2015-05-27       Impact factor: 3.139

10.  The effect of frequency of shared features on judgments of semantic similarity.

Authors:  Daniel Mirman; James S Magnuson
Journal:  Psychon Bull Rev       Date:  2009-08
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