An Investigation into the Dissipative Stochastic Mechanics Based Neuron Model under Noisy Input Currents

In this paper, it is attempted to look into the dissipative stochastic mechanics based neuron model under noisy input currents. Specifically, it is concentrated on the role of input noise with reference to the renormalization terms in the model. The investigation shows that the use of noise in the inputs can improve the spiking rates and the spike coherence values, especially in the presence of the renormalization terms.