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1000 Titel
  • A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons
1000 Autor/in
  1. Tomko, Matus |
  2. Benuskova, Lubica |
  3. Jedlicka, Peter |
1000 Verlag
  • Springer US
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-12
1000 Erschienen in
1000 Quellenangabe
  • 52(2):125-131
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10827-024-00868-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11035391/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>Long-term potentiation (LTP) is a synaptic mechanism involved in learning and memory. Experiments have shown that dendritic sodium spikes (Na-dSpikes) are required for LTP in the distal apical dendrites of CA1 pyramidal cells. On the other hand, LTP in perisomatic dendrites can be induced by synaptic input patterns that can be both subthreshold and suprathreshold for Na-dSpikes. It is unclear whether these results can be explained by one unifying plasticity mechanism. Here, we show in biophysically and morphologically realistic compartmental models of the CA1 pyramidal cell that these forms of LTP can be fully accounted for by a simple plasticity rule. We call it the voltage-based Event-Timing-Dependent Plasticity (ETDP) rule. The presynaptic event is the presynaptic spike or release of glutamate. The postsynaptic event is the local depolarization that exceeds a certain plasticity threshold. Our model reproduced the experimentally observed LTP in a variety of protocols, including local pharmacological inhibition of dendritic spikes by tetrodotoxin (TTX). In summary, we have provided a validation of the voltage-based ETDP, suggesting that this simple plasticity rule can be used to model even complex spatiotemporal patterns of long-term synaptic plasticity in neuronal dendrites.</jats:p>
1000 Sacherschließung
lokal Compartmental model
lokal CA1 Region, Hippocampal/cytology [MeSH]
lokal Dendritic spike
lokal Computer Simulation [MeSH]
lokal Neuronal Plasticity/physiology [MeSH]
lokal Animals [MeSH]
lokal Long-Term Potentiation/physiology [MeSH]
lokal Models, Neurological [MeSH]
lokal Brief Report
lokal Pyramidal Cells/physiology [MeSH]
lokal Dendrites/physiology [MeSH]
lokal Tetrodotoxin/pharmacology [MeSH]
lokal Action Potentials/physiology [MeSH]
lokal CA1 pyramidal cell
lokal CA1 Region, Hippocampal/physiology [MeSH]
lokal Long-term potentiation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-2915-1780|https://orcid.org/0000-0001-9804-0286|https://orcid.org/0000-0001-6571-5742
1000 Hinweis
  • DeepGreen-ID: bec3ee437dbd4f3384f78ac7039cd0c8 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Slovenská Akadémia Vied |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Slovenská Akadémia Vied |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2025-02-03T15:32:57.834+0100
1000 Erstellt von 322
1000 beschreibt frl:6491764
1000 Zuletzt bearbeitet 2025-07-30T08:06:43.804+0200
1000 Objekt bearb. Wed Jul 30 08:06:43 CEST 2025
1000 Vgl. frl:6491764
1000 Oai Id
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