Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions

Abstract Cortical network undergoes rewiring everyday due to learning and memory events. To investigate the trends of population adaptation in neocortex overtime, we record cellular activity of large-scale cortical populations in response to neutral environments and conditioned contexts and identify...

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Main Authors: Hong Xie, Kaiyuan Liu, Dong Li, Chang-Shui Zhang, Claus C. Hilgetag, Ji-Song Guan
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-024-07186-2
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author Hong Xie
Kaiyuan Liu
Dong Li
Chang-Shui Zhang
Claus C. Hilgetag
Ji-Song Guan
author_facet Hong Xie
Kaiyuan Liu
Dong Li
Chang-Shui Zhang
Claus C. Hilgetag
Ji-Song Guan
author_sort Hong Xie
collection DOAJ
description Abstract Cortical network undergoes rewiring everyday due to learning and memory events. To investigate the trends of population adaptation in neocortex overtime, we record cellular activity of large-scale cortical populations in response to neutral environments and conditioned contexts and identify a general intrinsic cortical adaptation mechanism, naming rectified activity-dependent population plasticity (RAPP). Comparing each adjacent day, the previously activated neurons reduce activity, but remain with residual potentiation, and increase population variability in proportion to their activity during previous recall trials. RAPP predicts both the decay of context-induced activity patterns and the emergence of sparse memory traces. Simulation analysis reveal that the local inhibitory connections might account for the residual potentiation in RAPP. Intriguingly, introducing the RAPP phenomenon in the artificial neural network show promising improvement in small sample size pattern recognition tasks. Thus, RAPP represents a phenomenon of cortical adaptation, contributing to the emergence of long-lasting memory and high cognitive functions.
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institution Kabale University
issn 2399-3642
language English
publishDate 2024-11-01
publisher Nature Portfolio
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spelling doaj-art-0177def660ae46e7ad20e3d416e3b7612024-11-17T12:42:30ZengNature PortfolioCommunications Biology2399-36422024-11-017111410.1038/s42003-024-07186-2Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functionsHong Xie0Kaiyuan Liu1Dong Li2Chang-Shui Zhang3Claus C. Hilgetag4Ji-Song Guan5School of Artificial Intelligence Science and Technology, University of Shanghai for Science and TechnologySchool of Life Science and Technology, Shanghai Tech UniversityInstitut für Computational Neuroscience, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52Department of Automation, Tsinghua UniversityInstitut für Computational Neuroscience, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52School of Life Science and Technology, Shanghai Tech UniversityAbstract Cortical network undergoes rewiring everyday due to learning and memory events. To investigate the trends of population adaptation in neocortex overtime, we record cellular activity of large-scale cortical populations in response to neutral environments and conditioned contexts and identify a general intrinsic cortical adaptation mechanism, naming rectified activity-dependent population plasticity (RAPP). Comparing each adjacent day, the previously activated neurons reduce activity, but remain with residual potentiation, and increase population variability in proportion to their activity during previous recall trials. RAPP predicts both the decay of context-induced activity patterns and the emergence of sparse memory traces. Simulation analysis reveal that the local inhibitory connections might account for the residual potentiation in RAPP. Intriguingly, introducing the RAPP phenomenon in the artificial neural network show promising improvement in small sample size pattern recognition tasks. Thus, RAPP represents a phenomenon of cortical adaptation, contributing to the emergence of long-lasting memory and high cognitive functions.https://doi.org/10.1038/s42003-024-07186-2
spellingShingle Hong Xie
Kaiyuan Liu
Dong Li
Chang-Shui Zhang
Claus C. Hilgetag
Ji-Song Guan
Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
Communications Biology
title Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
title_full Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
title_fullStr Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
title_full_unstemmed Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
title_short Rectified activity-dependent population plasticity implicates cortical adaptation for memory and cognitive functions
title_sort rectified activity dependent population plasticity implicates cortical adaptation for memory and cognitive functions
url https://doi.org/10.1038/s42003-024-07186-2
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AT changshuizhang rectifiedactivitydependentpopulationplasticityimplicatescorticaladaptationformemoryandcognitivefunctions
AT clauschilgetag rectifiedactivitydependentpopulationplasticityimplicatescorticaladaptationformemoryandcognitivefunctions
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