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

ABSTRACT: 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.

SUBMITTER: Barrett AB

PROVIDER: S-EPMC2603667 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature

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

Barrett Adam B AB Billings Guy O GO Morris Richard G M RG van Rossum Mark C W MC

PLoS computational biology 20090116 1

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 ...[more]

PMID: 19148264

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