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In terms of the long-distance communication of a single neuron, interpulseintervals (IPIs) are a possible alternative to rate and binary codes. As aproxy for IPI, the time-to-spike (TTS) for a neuron can be found in thebiophysical and experimental literature. Using the current, consensus layer Vpyramidal neuron, the present study examines the feasibility of IPI-coding andexamines the noise sources that limit the information rate of such an encoding.In descending order of noise intensity, the noise sources are (i) synapticvariability, (ii) sodium channel shot-noise, followed by (iii) thermal noisewith synaptic noise much greater than the sodium channel-noise. Moreimportantly, the biophysical model demonstrates a linear relationship betweeninput intensity and inverse TTS. This linear observation contradicts theassumption that a neuron should be treated as a passive, electronic circuit (anRC circuit, as in the Stein model). Finally, the biophysical simulations allowthe calculation of mutual information, which is about 3.0 bits/spike.

Complexity Leads to Simplicity: A Consensus Layer V Pyramidal Neuron Can Sustain Interpulse-Interval Coding