Modeling and Analyzing Spike Timing Dependent Plasticity with Linear Hybrid Automata

نویسندگان

  • Alina Bey
  • Stefan Leue
چکیده

We 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 availability of an LHA model as well as its formal analysis using the tool PHAVer can support a better understanding of the dynamics of STDP.

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تاریخ انتشار 2011