From the perspective of learning and memory, intrinsic plasticity of neurons is an immensely important phenomenon. The hallmark of intrinsic plasticity is detectable in the form of activity dependent reduction in the After Hyper-polarization. But, as of now, it is not very clearly understood how neurons manage to do this. Keeping this in view, the dynamics of After Hyper-polarization reduction in a single neuron has been investigated in this work. The approach that has been adopted is that of biophysical modeling based on the Hodgkin-Huxley equation of Action Potential. The parameters in the Hodgkin-Huxley equations, which contribute to the threshold and the reduction of After Hyper-polarization, have been investigated in different neuron types, namely, the classical Hodgkin Huxley squid giant neuron, rodent cortical pyramidal neuron and rodent hippocampal interneuron. The potassium reversal potential (V K ) has been found to be the Hodgkin Huxley parameter that modulates the After Hyper-polarization in all kinds of neurons. The potassium reversal potential (V K ) has been modeled as sigmoid and modified exponential function of the number of input stimulus. Computational results show that increase in the number of input stimulus results in decrease in After Hyper-polarization.

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