FIG. 1.

Structure of the proposed model. The ANF is modeled by a network of two point neurons describing the peripheral and the central axon of the ANF. The peripheral axon is excited by cathodic (negative) current and inhibited by anodic (positive) current. The central axon is excited by anodic current and inhibited by cathodic current. Independent noise inputs to each of the axons introduce stochasticity in the membrane potential. The two adaptive feedback currents account for subthreshold and suprathreshold adaptive properties observed in the ANF responses. The interaction between the two axons is modeled with an “OR” logic gate, selecting the first spike generated by either of the axons. The model receives the stimulus waveform as an input and provides spike times as the output.