Literature DB >> 20623440

Category induction in autism: slower, perhaps different, but certainly possible.

Isabelle Soulières1, Laurent Mottron, Gyslain Giguère, Serge Larochelle.   

Abstract

Available studies on categorization in autism indicate possibly intact category formation, performed through atypical processes. Category learning was investigated in 16 high-functioning autistic and 16 IQ-matched nonautistic participants, using a category structure that could generate a conflict between the application of a rule and exemplar memory. Same-different and matching-to-sample tasks allowed us to verify discrimination abilities for the stimuli to be used in category learning. Participants were then trained to distinguish between two categories of imaginary animals, using categorization tests early in the training and at the end (160 trials). A recognition test followed, in order to evaluate explicit exemplar memory. Similar discrimination performance was found in control tasks for both groups. For the categorization task, autistic participants did not use any identifiable strategy early in the training, but used strategies similar to those of the nonautistic participants by the end, with the same level of accuracy. Memory for the exemplars was poor in both groups. Our findings confirm that categorization may be successfully performed by autistics, but may necessitate longer exposure to material, as the top-down use of rules may be only secondary to a guessing strategy in autistics.

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Year:  2010        PMID: 20623440     DOI: 10.1080/17470218.2010.492994

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  12 in total

1.  Probabilistic reinforcement learning in adults with autism spectrum disorders.

Authors:  Marjorie Solomon; Anne C Smith; Michael J Frank; Stanford Ly; Cameron S Carter
Journal:  Autism Res       Date:  2011-03-18       Impact factor: 5.216

2.  Adults with Autism Tend to Underestimate the Hidden Environmental Structure: Evidence from a Visual Associative Learning Task.

Authors:  Laurie-Anne Sapey-Triomphe; Sandrine Sonié; Marie-Anne Hénaff; Jérémie Mattout; Christina Schmitz
Journal:  J Autism Dev Disord       Date:  2018-09

3.  Learning, plasticity, and atypical generalization in children with autism.

Authors:  Barbara A Church; Courtney L Rice; Alexander Dovgopoly; Christopher J Lopata; Marcus L Thomeer; Andrew Nelson; Eduardo Mercado
Journal:  Psychon Bull Rev       Date:  2015-10

4.  Atypical category processing and hemispheric asymmetries in high-functioning children with autism: revealed through high-density EEG mapping.

Authors:  Ian C Fiebelkorn; John J Foxe; Mark E McCourt; Kristina N Dumas; Sophie Molholm
Journal:  Cortex       Date:  2012-05-03       Impact factor: 4.027

5.  The effects of autism and alexithymia on physiological and verbal responsiveness to music.

Authors:  Rory Allen; Rob Davis; Elisabeth Hill
Journal:  J Autism Dev Disord       Date:  2013-02

6.  Differences in Prediction May Underlie Language Disorder in Autism.

Authors:  Susan Ellis Weismer; Jenny R Saffran
Journal:  Front Psychol       Date:  2022-06-09

7.  Brief Report: Simulations Suggest Heterogeneous Category Learning and Generalization in Children with Autism is a Result of Idiosyncratic Perceptual Transformations.

Authors:  Eduardo Mercado; Barbara A Church
Journal:  J Autism Dev Disord       Date:  2016-08

8.  Children with Autism Detect Targets at Very Rapid Presentation Rates with Similar Accuracy as Adults.

Authors:  Carl Erick Hagmann; Bradley Wyble; Nicole Shea; Megan LeBlanc; Wendy R Kates; Natalie Russo
Journal:  J Autism Dev Disord       Date:  2016-05

9.  Do Children with Autism Spectrum Disorder Benefit from Structural Alignment When Constructing Categories?

Authors:  Simon Snape; Andrea Krott; Joseph P McCleery
Journal:  J Autism Dev Disord       Date:  2018-09

10.  A connectionist model of category learning by individuals with high-functioning autism spectrum disorder.

Authors:  Alexander Dovgopoly; Eduardo Mercado
Journal:  Cogn Affect Behav Neurosci       Date:  2013-06       Impact factor: 3.526

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