journal.pcbi.1000259.pdf (1000.72 kB)
State based model of long-term potentiation and synaptic tagging and capture
journal contribution
posted on 2023-06-07, 22:07 authored by Adam BarrettAdam Barrett, Guy O Billings, Richard G M Morris, Mark C W van RossumRecent 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.
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Publication status
- Published
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- Published version
Journal
PLoS Computational BiologyISSN
1553-7358Publisher
Public Library of ScienceExternal DOI
Issue
1Volume
5Article number
e1000259Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06First Open Access (FOA) Date
2016-03-22First Compliant Deposit (FCD) Date
2016-11-16Usage metrics
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