Competition for synaptic building blocks shapes synaptic plasticity

  • Changes in the efficacies of synapses are thought to be the neurobiological basis of learning and memory. The efficacy of a synapse depends on its current number of neurotransmitter receptors. Recent experiments have shown that these receptors are highly dynamic, moving back and forth between synapses on time scales of seconds and minutes. This suggests spontaneous fluctuations in synaptic efficacies and a competition of nearby synapses for available receptors. Here we propose a mathematical model of this competition of synapses for neurotransmitter receptors from a local dendritic pool. Using minimal assumptions, the model produces a fast multiplicative scaling behavior of synapses. Furthermore, the model explains a transient form of heterosynaptic plasticity and predicts that its amount is inversely related to the size of the local receptor pool. Overall, our model reveals logistical tradeoffs during the induction of synaptic plasticity due to the rapid exchange of neurotransmitter receptors between synapses.

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Metadaten
Author:Jochen TrieschORCiD, Anh Duong VoORCiD, Anne-Sophie HafnerORCiD
URN:urn:nbn:de:hebis:30:3-734369
DOI:https://doi.org/10.7554/eLife.37836.001
ISSN:2050-084X
Parent Title (English):eLife
Publisher:eLife Sciences Publications
Place of publication:Cambridge
Document Type:Article
Language:English
Date of Publication (online):2018/10/11
Date of first Publication:2018/10/11
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/04/14
Volume:7
Issue:e37836
Page Number:26
First Page:1
Last Page:26
HeBIS-PPN:508322480
Institutes:Physik
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0