State Based Model of Long-Term Potentiation and Synaptic Tagging and Capture

Adam B Barrett, Guy Billings, Richard G M Morris, Mark C W van Rossum

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Article numbere1000259
Pages (from-to)1-12
Number of pages12
JournalPLoS Computational Biology
Issue number1
Publication statusPublished - Jan 2009


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