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Recent in vitro data show that neurons respond to input variance with varyingsensitivities. Here, we demonstrate that Hodgkin-Huxley (HH) neurons canoperate in two computational regimes, one that is more sensitive to inputvariance (differentiating) and one that is less sensitive (integrating). Aboundary plane in the 3D conductance space separates these two regimes. For areduced HH model, this plane can be derived analytically from the V nullcline,thus suggesting a means of relating biophysical parameters to neuralcomputation by analyzing the neuron's dynamical system.

Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space