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Systematic Reduction of a Bursting Neuron Model

We present our research in reducing the complexity of a conductance-based neural model. We utilize previously published techniques, as well as novel methods, to reduce a 14 state variable, conductance-based model of a bursting neuron to a 4 state variable hybrid integrate-and-fire model. The reduced model exhibits activity that is quantitatively similar to the complex model both in single-cell bursting mode, and when coupled to another neuron