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Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation

Overview of attention for article published in PLoS Computational Biology, October 2013
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Title
Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003307
Pubmed ID
Authors

Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, Misha Tsodyks, Florentin Wörgötter

Abstract

Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term synaptic potentiation, to days, for memory consolidation. During such processes, neural circuits distinguish synapses relevant for forming a long-term storage, which are consolidated, from synapses of short-term storage, which fade. How time scale integration and synaptic differentiation is simultaneously achieved remains unclear. Here we show that synaptic scaling - a slow process usually associated with the maintenance of activity homeostasis - combined with synaptic plasticity may simultaneously achieve both, thereby providing a natural separation of short- from long-term storage. The interaction between plasticity and scaling provides also an explanation for an established paradox where memory consolidation critically depends on the exact order of learning and recall. These results indicate that scaling may be fundamental for stabilizing memories, providing a dynamic link between early and late memory formation processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 3 2%
United Kingdom 2 2%
Canada 1 <1%
Argentina 1 <1%
Switzerland 1 <1%
Russia 1 <1%
Belgium 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 114 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 26%
Researcher 26 20%
Student > Master 15 12%
Student > Bachelor 14 11%
Professor 10 8%
Other 21 16%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 22%
Neuroscience 28 22%
Physics and Astronomy 17 13%
Computer Science 13 10%
Psychology 8 6%
Other 25 19%
Unknown 10 8%