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An autocatalytic model of STDP timing from slow calcium-dependent signals
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0003-0281-9450
2005 (English)In: Neurocomputing, ISSN 0925-2312, E-ISSN 1872-8286, Vol. 65-66, 603-608 p.Article in journal (Refereed) Published
Abstract [en]

Data of spike timing-dependent plasticity (STDP) show a sharp temporal transition between potentiation and depression despite a relatively slow time course of calcium concentration. We show how autocatalytic amplification of initial concentration differences can enable a high degree of temporal selectivity and produce the sharp STDP weight change curve despite having a relatively slow time constant. This simple model is robust to parameter changes, noise and details of the model. The model correctly predicts the location of the maximum and minimum for STDP at +/- 10ms from coincidence.

Place, publisher, year, edition, pages
2005. Vol. 65-66, 603-608 p.
Keyword [en]
STDP, autocatalysis, calcium signal, timing
National Category
Bioinformatics (Computational Biology) Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-42552DOI: 10.1016/j.neucom.2004.10.051ISI: 000229663600078Scopus ID: 2-s2.0-18144406569OAI: oai:DiVA.org:kth-42552DiVA: diva2:447327
Note
QC 20111011Available from: 2011-10-11 Created: 2011-10-11 Last updated: 2017-12-08Bibliographically approved

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Fransén, Erik

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