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.
Sorensen
Michael
M
department of Biomedical Engineering at Georgia Institute of Technology, Atlanta, Georgia, USA. sorensen@ece.gatech.edu.
Deweerth
Steve
S