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

Tetzlaff, C., Kolodziejski, C., Timme, M., Tsodyks, M., & Woergoetter, F. (2013). Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation. PLoS Computational Biology, 9(10): e1003307. doi:10.1371/journal.pcbi.1003307.

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 Urheber:
Tetzlaff, Christian1, Autor           
Kolodziejski, Christoph1, Autor           
Timme, Marc1, Autor           
Tsodyks, Misha, Autor
Woergoetter, Florentin, Autor
Affiliations:
1Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063295              

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 Zusammenfassung: 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 longterm 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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Sprache(n): eng - English
 Datum: 2013-10-31
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 692250
DOI: 10.1371/journal.pcbi.1003307
 Art des Abschluß: -

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Titel: PLoS Computational Biology
  Alternativer Titel : PLoS Comput. Biol.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 (10) Artikelnummer: e1003307 Start- / Endseite: - Identifikator: -