Information measures in a small network of spiking neurons

The information transmission among the elements of a small network of spiking neurons is studied using the normalized differential entropy and the Kullback Leibler distance information measures. The attention is devoted to the information content of the spiking activity of a reference neuron subject to excitatory and inhibitory stimuli coming from other elements of the considered network. The use of information measures allows to quantify the effects of the input contributions. The role of inhibition in the spiking activity of the reference neuron is enlighted and the effect of considering different distributions for the time events of the stimuli is discussed.