Title :
Systematic Reduction of a Bursting Neuron Model
Author :
Sorensen, Michael ; DeWeerth, Steve
Author_Institution :
Dept. of Biomed. Eng., Georgia Inst. of Technol., Atlanta, GA
Abstract :
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
Keywords :
bioelectric phenomena; neurophysiology; physiological models; bursting neuron model; complexity; conductance-based neural model; hybrid integrate-and-fire model; single-cell bursting mode; systematic reduction; Biological neural networks; Biological system modeling; Biomembranes; Calcium; Content addressable storage; Heart; Mechanical factors; Neurons; Reduced order systems; Voltage;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617086
