Information processing principle inferred from cortical spike sequences

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Spike sequences observed from cerebral cortex neurons are highly irregular. We explored the principle of information processing in cortical neuronal system using irregular spike trains, by means of analyzing the power-law statistics of inter-spike intervals. We revised a conditional entropy minimization hypothesis that proposed in our previous study and proposed a "constrained maximization of firing-rate entropy" (CMFE) hypothesis. We further extended the CMFE theory to match more realistic situation of neural activities.