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- W2114863659 abstract "I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous 'after-spike' reset of state variables. Unlike Hodgkin-Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match neuronal dynamics. I present a method of after-spike resetting suitable for hardware implementation of such models, and a hybrid numerical method for simulations of large-scale biological spiking networks." @default.
- W2114863659 created "2016-06-24" @default.
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- W2114863659 date "2010-11-13" @default.
- W2114863659 modified "2023-10-10" @default.
- W2114863659 title "Hybrid spiking models" @default.
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- W2114863659 doi "https://doi.org/10.1098/rsta.2010.0130" @default.
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