Abstract
Many studies have recently focused on the temporal encoding scheme, wherein information about a stimulus is carried in temporal firing patterns of neurons. We first show how to quantify the information conveyed in the spike train of an individual neuron and that in the temporal firing patterns of an ensemble of neurons, respectively, in terms of the entropy. We further apply both the information representations to the context of stochastic resonance. It is demonstrated that the neurons can transmit more information about the signals with frequencies within the range of 22–70 Hz. These enable us to well interpret the experimental observations.
