REDUCTION OF CONDUCTANCE-BASED NEURON MODELS

We present a scheme for systematically reducing the number of differen tial equations required for biophysically realistic neuron models. The techniques are general, are designed to be applicable to a large set of such models and retain in the reduced system as high a degree of fi delity to the original system as possible. As examples, we provide red uctions of the Hodgkin-Huxley system and the A-current model of Connor et al. (1977).