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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2009-01-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000259&type=printable |
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| _version_ | 1850182876715286528 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-b7eaa29e83384f23b684cb908a76d293 |
| institution | OA Journals |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-b7eaa29e83384f23b684cb908a76d2932025-08-20T02:17:29ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582009-01-0151e100025910.1371/journal.pcbi.1000259State based model of long-term potentiation and synaptic tagging and capture.Adam B BarrettGuy O BillingsRichard G M MorrisMark 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.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000259&type=printable |
| spellingShingle | 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. PLoS Computational Biology |
| title | 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_short | 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 |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000259&type=printable |
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