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

Barrett, Adam B, Billings, Guy O, Morris, Richard G M and van Rossum, Mark C W (2009) State based model of long-term potentiation and synaptic tagging and capture. PLoS Computational Biology, 5 (1). e1000259. ISSN 1553-7358

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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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Adam Barrett
Date Deposited: 06 Feb 2012 19:09
Last Modified: 02 Jul 2019 20:49

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