A neuron inspired model for the time constant of dynamical systems

Emulate the gating mechanism of ionic channels in neurons, we present a mathematical model for the time constant of dynamical systems. Our model is an analytical continues function. The analyses give evidence that one can adjust the desirable morphology of the response of the dynamical system by adjusting the parameters of the proposed model.