State based model of long-term potentiation and synaptic tagging and capture.

Recent data indicate that plasticity protocols have not only synapse-specific but also more widespread effects. In particular, in synaptic tagging and capture (STC), tagged synapses can capture plasticity-related proteins, synthesized in response to strong stimulation of other synapses. This leads t...

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Autores principales:	Adam B Barrett, Guy O Billings, Richard G M Morris, Mark C W van Rossum
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b7eaa29e83384f23b684cb908a76d293
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spelling	oai:doaj.org-article:b7eaa29e83384f23b684cb908a76d2932021-12-02T19:57:54ZState based model of long-term potentiation and synaptic tagging and capture.1553-734X1553-735810.1371/journal.pcbi.1000259https://doaj.org/article/b7eaa29e83384f23b684cb908a76d2932009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19148264/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Recent data indicate that plasticity protocols have not only synapse-specific but also more widespread effects. In particular, in synaptic tagging and capture (STC), tagged synapses can capture plasticity-related proteins, synthesized in response to strong stimulation of other synapses. This leads to long-lasting modification of only weakly stimulated synapses. Here we present a biophysical model of synaptic plasticity in the hippocampus that incorporates several key results from experiments on STC. The model specifies a set of physical states in which a synapse can exist, together with transition rates that are affected by high- and low-frequency stimulation protocols. In contrast to most standard plasticity models, the model exhibits both early- and late-phase LTP/D, de-potentiation, and STC. As such, it provides a useful starting point for further theoretical work on the role of STC in learning and memory.Adam B BarrettGuy O BillingsRichard G M MorrisMark C W van RossumPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 1, p e1000259 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Adam B Barrett Guy O Billings Richard G M Morris Mark C W van Rossum State based model of long-term potentiation and synaptic tagging and capture.
description	Recent data indicate that plasticity protocols have not only synapse-specific but also more widespread effects. In particular, in synaptic tagging and capture (STC), tagged synapses can capture plasticity-related proteins, synthesized in response to strong stimulation of other synapses. This leads to long-lasting modification of only weakly stimulated synapses. Here we present a biophysical model of synaptic plasticity in the hippocampus that incorporates several key results from experiments on STC. The model specifies a set of physical states in which a synapse can exist, together with transition rates that are affected by high- and low-frequency stimulation protocols. In contrast to most standard plasticity models, the model exhibits both early- and late-phase LTP/D, de-potentiation, and STC. As such, it provides a useful starting point for further theoretical work on the role of STC in learning and memory.
format	article
author	Adam B Barrett Guy O Billings Richard G M Morris Mark C W van Rossum
author_facet	Adam B Barrett Guy O Billings Richard G M Morris Mark C W van Rossum
author_sort	Adam B Barrett
title	State based model of long-term potentiation and synaptic tagging and capture.
title_short	State based model of long-term potentiation and synaptic tagging and capture.
title_full	State based model of long-term potentiation and synaptic tagging and capture.
title_fullStr	State based model of long-term potentiation and synaptic tagging and capture.
title_full_unstemmed	State based model of long-term potentiation and synaptic tagging and capture.
title_sort	state based model of long-term potentiation and synaptic tagging and capture.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/b7eaa29e83384f23b684cb908a76d293
work_keys_str_mv	AT adambbarrett statebasedmodeloflongtermpotentiationandsynaptictaggingandcapture AT guyobillings statebasedmodeloflongtermpotentiationandsynaptictaggingandcapture AT richardgmmorris statebasedmodeloflongtermpotentiationandsynaptictaggingandcapture AT markcwvanrossum statebasedmodeloflongtermpotentiationandsynaptictaggingandcapture
_version_	1718375798455402496

State based model of long-term potentiation and synaptic tagging and capture.

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