Error-correcting dynamics in visual working memory

Neural representations in working memory are susceptible to internal noise, which scales with memory load. Here, the authors show that attractor dynamics mitigate the influence of internal noise by pulling memories towards a few stable representations.

Bibliographic Details
Main Authors: Matthew F. Panichello, Brian DePasquale, Jonathan W. Pillow, Timothy J. Buschman
Format: Article
Language:English
Published: Nature Publishing Group 2019-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-11298-3
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spelling doaj-7dc7a9bc12354148a2112c3668c27c122021-05-11T11:58:47ZengNature Publishing GroupNature Communications2041-17232019-07-0110111110.1038/s41467-019-11298-3Error-correcting dynamics in visual working memoryMatthew F. Panichello0Brian DePasquale1Jonathan W. Pillow2Timothy J. Buschman3Princeton Neuroscience Institute, Princeton UniversityPrinceton Neuroscience Institute, Princeton UniversityPrinceton Neuroscience Institute, Princeton UniversityPrinceton Neuroscience Institute, Princeton UniversityNeural representations in working memory are susceptible to internal noise, which scales with memory load. Here, the authors show that attractor dynamics mitigate the influence of internal noise by pulling memories towards a few stable representations.https://doi.org/10.1038/s41467-019-11298-3
collection DOAJ
language English
format Article
sources DOAJ
author Matthew F. Panichello
Brian DePasquale
Jonathan W. Pillow
Timothy J. Buschman
spellingShingle Matthew F. Panichello
Brian DePasquale
Jonathan W. Pillow
Timothy J. Buschman
Error-correcting dynamics in visual working memory
Nature Communications
author_facet Matthew F. Panichello
Brian DePasquale
Jonathan W. Pillow
Timothy J. Buschman
author_sort Matthew F. Panichello
title Error-correcting dynamics in visual working memory
title_short Error-correcting dynamics in visual working memory
title_full Error-correcting dynamics in visual working memory
title_fullStr Error-correcting dynamics in visual working memory
title_full_unstemmed Error-correcting dynamics in visual working memory
title_sort error-correcting dynamics in visual working memory
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-07-01
description Neural representations in working memory are susceptible to internal noise, which scales with memory load. Here, the authors show that attractor dynamics mitigate the influence of internal noise by pulling memories towards a few stable representations.
url https://doi.org/10.1038/s41467-019-11298-3
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