Higher-Order Patterns of Neuronal Interspike Intervals (Trigrams and Quadgrams) Analyzed as Self-Adjusting Sets of Ratios

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Abstract
The present study proposes a new technique designed to disclose patterns of intervals, and which allows to make probabilistic statements about sequential arrangement of three, four and five intervals. It discloses patterns of intervals since it reduces the number of possible relationships between sequential intervals to only three alternatives by assuming that the first interval in a sequential pair can be either smaller than, equal to or larger than the second interval. The rationale of this technique is based on the assumption that information is carried by discrete patterns rather than statistical parameters such as the mean, standard deviation, etc., a contention strongly supported by experimental evidence.