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- W1543812475 abstract "In this paper, we explore from an experimental point of view the possibilities and limitations of the new HYCGE learning algorithm for hybrid automata. As an example of a practical application, we study the algorithm’s performance on learning the behaviour of the action potential in excitable cells, specifically the Hodgkin-Huxley model of a squid giant axon, the Luo-Rudy model of a guinea pig ventricular cell, and the Entcheva model of a neonatal rat ventricular cell. The validity and accuracy of the algorithm is also visualized through graphical means." @default.
- W1543812475 created "2016-06-24" @default.
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- W1543812475 date "2013-01-01" @default.
- W1543812475 modified "2023-10-01" @default.
- W1543812475 title "Automated Inference of Excitable Cell Models as Hybrid Automata" @default.
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- W1543812475 hasPublicationYear "2013" @default.
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