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A functional model of adult dentate gyrus neurogenesis

In adult dentate gyrus neurogenesis, the link between maturation of newborn neurons and their function, such as behavioral pattern separation, has remained puzzling. By analyzing a theoretical model, we show that the switch from excitation to inhibition of the GABAergic input onto maturing newborn c...

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Detalles Bibliográficos
Autores principales: Gozel, Olivia, Gerstner, Wulfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260225/
https://www.ncbi.nlm.nih.gov/pubmed/34137370
http://dx.doi.org/10.7554/eLife.66463
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author Gozel, Olivia
Gerstner, Wulfram
author_facet Gozel, Olivia
Gerstner, Wulfram
author_sort Gozel, Olivia
collection PubMed
description In adult dentate gyrus neurogenesis, the link between maturation of newborn neurons and their function, such as behavioral pattern separation, has remained puzzling. By analyzing a theoretical model, we show that the switch from excitation to inhibition of the GABAergic input onto maturing newborn cells is crucial for their proper functional integration. When the GABAergic input is excitatory, cooperativity drives the growth of synapses such that newborn cells become sensitive to stimuli similar to those that activate mature cells. When GABAergic input switches to inhibitory, competition pushes the configuration of synapses onto newborn cells toward stimuli that are different from previously stored ones. This enables the maturing newborn cells to code for concepts that are novel, yet similar to familiar ones. Our theory of newborn cell maturation explains both how adult-born dentate granule cells integrate into the preexisting network and why they promote separation of similar but not distinct patterns.
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spelling pubmed-82602252021-07-07 A functional model of adult dentate gyrus neurogenesis Gozel, Olivia Gerstner, Wulfram eLife Computational and Systems Biology In adult dentate gyrus neurogenesis, the link between maturation of newborn neurons and their function, such as behavioral pattern separation, has remained puzzling. By analyzing a theoretical model, we show that the switch from excitation to inhibition of the GABAergic input onto maturing newborn cells is crucial for their proper functional integration. When the GABAergic input is excitatory, cooperativity drives the growth of synapses such that newborn cells become sensitive to stimuli similar to those that activate mature cells. When GABAergic input switches to inhibitory, competition pushes the configuration of synapses onto newborn cells toward stimuli that are different from previously stored ones. This enables the maturing newborn cells to code for concepts that are novel, yet similar to familiar ones. Our theory of newborn cell maturation explains both how adult-born dentate granule cells integrate into the preexisting network and why they promote separation of similar but not distinct patterns. eLife Sciences Publications, Ltd 2021-06-17 /pmc/articles/PMC8260225/ /pubmed/34137370 http://dx.doi.org/10.7554/eLife.66463 Text en © 2021, Gozel and Gerstner https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Gozel, Olivia
Gerstner, Wulfram
A functional model of adult dentate gyrus neurogenesis
title A functional model of adult dentate gyrus neurogenesis
title_full A functional model of adult dentate gyrus neurogenesis
title_fullStr A functional model of adult dentate gyrus neurogenesis
title_full_unstemmed A functional model of adult dentate gyrus neurogenesis
title_short A functional model of adult dentate gyrus neurogenesis
title_sort functional model of adult dentate gyrus neurogenesis
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260225/
https://www.ncbi.nlm.nih.gov/pubmed/34137370
http://dx.doi.org/10.7554/eLife.66463
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