Modeling and analyzing spike timing dependent plasticity with linear hybrid automata

dc.contributor.authorBey, Alina
dc.contributor.authorLeue, Stefan
dc.date.accessioned2012-06-27T07:42:32Zdeu
dc.date.available2012-06-27T07:42:32Zdeu
dc.date.issued2011deu
dc.description.abstractWe propose a model for synaptic plasticity according to the Spike Timing Dependent Plasticity (STDP) theory using Linear Hybrid Automata (LHA). We first present a compositional LHA model in which each component corresponds to some process in STDP. We then abstract this model into a monolithic LHA model in order to enable formal analysis using hybrid model checking. We discuss how the avail- ability of an LHA model as well as its formal analysis using the tool PHAVer can support a better understanding of the dynamics of STDP.eng
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dc.identifier.ppn367344084deu
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dc.language.isoengdeu
dc.legacy.dateIssued2012-06-27deu
dc.relation.ispartofseriesTechnical Report, Chair for Software Engineering, University of Konstanz ; soft-11-03deu
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dc.subject.ddc004deu
dc.titleModeling and analyzing spike timing dependent plasticity with linear hybrid automataeng
dc.typeWORKINGPAPERdeu
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kops.citation.bibtex
@techreport{Bey2011Model-19615,
  year={2011},
  series={Technical Report, Chair for Software Engineering, University of Konstanz ; soft-11-03},
  title={Modeling and analyzing spike timing dependent plasticity with linear hybrid automata},
  author={Bey, Alina and Leue, Stefan}
}
kops.citation.iso690BEY, Alina, Stefan LEUE, 2011. Modeling and analyzing spike timing dependent plasticity with linear hybrid automatadeu
kops.citation.iso690BEY, Alina, Stefan LEUE, 2011. Modeling and analyzing spike timing dependent plasticity with linear hybrid automataeng
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