Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains

Abstract We define a biological communication system at the level of a single neuron and quantify the temporal variability of afferent and efferent impulse patterns by means of an interval entropy measure. Two signal transmission conditions which bound a physiologically plausible range of transmission possibilities are explored. The number of efferent synapses is predicted by matching estimates of the mean efferent entropy to the total afferent entropy.

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