Rippling codes of event sequences

For the first time, the hypothesis is put forward based on computational modeling researching that phase coding of event sequences in the brain are rippling codes, i.e. in time dimension these are the codes of variable length. A conclusion is drawn that the fundamental difference between coding of single event and one of dynamical sequence is a strong nonlinear dependence of the phase code's length on time interval between two consecutive events. Proofs were received of strong time message compression. There conditions are shown under which the phenomenon of last event masking in sequence can occur. Examples of dynamical event sequences coding are considered.