Literature DB >> 32462637

Greater discrimination difficulty during perceptual learning leads to stronger and more distinct representations.

Vencislav Popov1,2, Lynne M Reder3,4.   

Abstract

Despite the conventional wisdom that it is more difficult to find a target among similar distractors, this study demonstrates that this disadvantage is short-lived, and that high target-to-distractor (TD) similarity during visual search training can have beneficial effects for learning. Participants with no prior knowledge of Chinese performed 12 hour-long sessions over 4 weeks, where they had to find a briefly presented target character among a set of distractors. At the beginning of the experiment, high TD similarity hurt performance, but the effect reversed during the first session and remained positive throughout the remaining sessions. This effect was due primarily to reducing false alarms on trials in which the target was absent from the search display. In addition, making an error on a trial with a specific character was associated with slower visual search response times on the subsequent repetition of the character, suggesting that participants paid more attention in encoding the characters after false alarms. Finally, the benefit of high TD similarity during visual search training transferred to a subsequent N-back working-memory task. These results suggest that greater discrimination difficulty likely induces stronger and more distinct representations of each character.

Entities:  

Keywords:  Memory; Perceptual learning; Representation; Similarity; Visual search

Mesh:

Year:  2020        PMID: 32462637     DOI: 10.3758/s13423-020-01751-6

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


  10 in total

1.  Effects of similarity and history on neural mechanisms of visual selection.

Authors:  N P Bichot; J D Schall
Journal:  Nat Neurosci       Date:  1999-06       Impact factor: 24.884

2.  An inter-item similarity model unifying feature and conjunction search.

Authors:  Steven Phillips; Yuji Takeda; Takatsune Kumada
Journal:  Vision Res       Date:  2006-08-22       Impact factor: 1.886

3.  How Big Is a Chunk?: By combining data from several experiments, a basic human memory unit can be identified and measured.

Authors:  H A Simon
Journal:  Science       Date:  1974-02-08       Impact factor: 47.728

4.  Feature analysis in early vision: evidence from search asymmetries.

Authors:  A Treisman; S Gormican
Journal:  Psychol Rev       Date:  1988-01       Impact factor: 8.934

5.  Seek and you shall remember: scene semantics interact with visual search to build better memories.

Authors:  Dejan Draschkow; Jeremy M Wolfe; Melissa L H Võ
Journal:  J Vis       Date:  2014-07-11       Impact factor: 2.240

6.  Visual search and stimulus similarity.

Authors:  J Duncan; G W Humphreys
Journal:  Psychol Rev       Date:  1989-07       Impact factor: 8.934

7.  Category Learning Stretches Neural Representations in Visual Cortex.

Authors:  Jonathan Folstein; Thomas J Palmeri; Ana E Van Gulick; Isabel Gauthier
Journal:  Curr Dir Psychol Sci       Date:  2015-02

8.  A feature-integration theory of attention.

Authors:  A M Treisman; G Gelade
Journal:  Cogn Psychol       Date:  1980-01       Impact factor: 3.468

9.  Chunking mechanisms in human learning.

Authors:  F Gobet; P C.R. Lane; S Croker; P C.-H. Cheng; G Jones; I Oliver; J M. Pine
Journal:  Trends Cogn Sci       Date:  2001-06-01       Impact factor: 20.229

Review 10.  Pattern separation in the hippocampus.

Authors:  Michael A Yassa; Craig E L Stark
Journal:  Trends Neurosci       Date:  2011-07-23       Impact factor: 13.837

  10 in total

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