Literature DB >> 36272987

Neural interactions in working memory explain decreased recall precision and similarity-based feature repulsion.

Jeffrey S Johnson1,2, Amanda E van Lamsweerde3,4, Evelina Dineva5, John P Spencer6.   

Abstract

Over the last several years, the study of working memory (WM) for simple visual features (e.g., colors, orientations) has been dominated by perspectives that assume items in WM are stored independently of one another. Evidence has revealed, however, systematic biases in WM recall which suggest that items in WM interact during active maintenance. In the present study, we report two experiments that replicate a repulsion bias between metrically similar colors during active storage in WM. We also observed that metrically similar colors were stored with lower resolution than a unique color held actively in mind at the same time. To account for these effects, we report quantitative simulations of two novel neurodynamical models of WM. In both models, the unique behavioral signatures reported here emerge directly from laterally-inhibitory neural interactions that serve to maintain multiple, distinct neural representations throughout the WM delay period. Simulation results show that the full pattern of empirical findings was only obtained with a model that included an elaborated spatial pathway with sequential encoding of memory display items. We discuss implications of our findings for theories of visual working memory more generally.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36272987     DOI: 10.1038/s41598-022-22328-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  46 in total

1.  The magical number 4 in short-term memory: a reconsideration of mental storage capacity.

Authors:  N Cowan
Journal:  Behav Brain Sci       Date:  2001-02       Impact factor: 12.579

2.  The effects of flankers on contrast detection and discrimination in binocular, monocular, and dichoptic presentations.

Authors:  Goro Maehara; Pi-Chun Huang; Robert F Hess
Journal:  J Vis       Date:  2010-04-27       Impact factor: 2.240

3.  The impact of interference on short-term memory for visual orientation.

Authors:  Rosanne L Rademaker; Ilona M Bloem; Peter De Weerd; Alexander T Sack
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-08-10       Impact factor: 3.332

4.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

5.  Hierarchical encoding in visual working memory: ensemble statistics bias memory for individual items.

Authors:  Timothy F Brady; George A Alvarez
Journal:  Psychol Sci       Date:  2011-02-04

6.  The capacity of visual working memory for features and conjunctions.

Authors:  S J Luck; E K Vogel
Journal:  Nature       Date:  1997-11-20       Impact factor: 49.962

7.  Familiarity and visual change detection.

Authors:  H Pashler
Journal:  Percept Psychophys       Date:  1988-10

8.  Interactions between visual working memory representations.

Authors:  Gi-Yeul Bae; Steven J Luck
Journal:  Atten Percept Psychophys       Date:  2017-11       Impact factor: 2.199

9.  Similarity-based distortion of visual short-term memory is due to perceptual averaging.

Authors:  Chad Dubé; Feng Zhou; Michael J Kahana; Robert Sekuler
Journal:  Vision Res       Date:  2014-01-04       Impact factor: 1.886

10.  An adaptive perspective on visual working memory distortions.

Authors:  Chaipat Chunharas; Rosanne L Rademaker; Timothy F Brady; John T Serences
Journal:  J Exp Psychol Gen       Date:  2022-02-21
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