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.