Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs

Abstract Working memory stores and processes information received as a stream of continuously incoming stimuli. This requires accurate sequencing and it remains puzzling how this can be reliably achieved by the neuronal system as our perceptual inputs show a high degree of temporal variability. One...

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Autores principales:	Timo Nachstedt, Christian Tetzlaff
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3ccd83dc8396415cb6b30b3321a8da06
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spelling	oai:doaj.org-article:3ccd83dc8396415cb6b30b3321a8da062021-12-02T12:32:30ZWorking Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs10.1038/s41598-017-02471-z2045-2322https://doaj.org/article/3ccd83dc8396415cb6b30b3321a8da062017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02471-zhttps://doaj.org/toc/2045-2322Abstract Working memory stores and processes information received as a stream of continuously incoming stimuli. This requires accurate sequencing and it remains puzzling how this can be reliably achieved by the neuronal system as our perceptual inputs show a high degree of temporal variability. One hypothesis is that accurate timing is achieved by purely transient neuronal dynamics; by contrast a second hypothesis states that the underlying network dynamics are dominated by attractor states. In this study, we resolve this contradiction by theoretically investigating the performance of the system using stimuli with differently accurate timing. Interestingly, only the combination of attractor and transient dynamics enables the network to perform with a low error rate. Further analysis reveals that the transient dynamics of the system are used to process information, while the attractor states store it. The interaction between both types of dynamics yields experimentally testable predictions and we show that this way the system can reliably interact with a timing-unreliable Hebbian-network representing long-term memory. Thus, this study provides a potential solution to the long-standing problem of the basic neuronal dynamics underlying working memory.Timo NachstedtChristian TetzlaffNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Timo Nachstedt Christian Tetzlaff Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
description	Abstract Working memory stores and processes information received as a stream of continuously incoming stimuli. This requires accurate sequencing and it remains puzzling how this can be reliably achieved by the neuronal system as our perceptual inputs show a high degree of temporal variability. One hypothesis is that accurate timing is achieved by purely transient neuronal dynamics; by contrast a second hypothesis states that the underlying network dynamics are dominated by attractor states. In this study, we resolve this contradiction by theoretically investigating the performance of the system using stimuli with differently accurate timing. Interestingly, only the combination of attractor and transient dynamics enables the network to perform with a low error rate. Further analysis reveals that the transient dynamics of the system are used to process information, while the attractor states store it. The interaction between both types of dynamics yields experimentally testable predictions and we show that this way the system can reliably interact with a timing-unreliable Hebbian-network representing long-term memory. Thus, this study provides a potential solution to the long-standing problem of the basic neuronal dynamics underlying working memory.
format	article
author	Timo Nachstedt Christian Tetzlaff
author_facet	Timo Nachstedt Christian Tetzlaff
author_sort	Timo Nachstedt
title	Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
title_short	Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
title_full	Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
title_fullStr	Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
title_full_unstemmed	Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
title_sort	working memory requires a combination of transient and attractor-dominated dynamics to process unreliably timed inputs
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/3ccd83dc8396415cb6b30b3321a8da06
work_keys_str_mv	AT timonachstedt workingmemoryrequiresacombinationoftransientandattractordominateddynamicstoprocessunreliablytimedinputs AT christiantetzlaff workingmemoryrequiresacombinationoftransientandattractordominateddynamicstoprocessunreliablytimedinputs
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Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs

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