Abstract
Nonlinear dynamics, physical processes, and information processing in selective pulse neurons are studied. A way of encoding input information, in which a piece of information is the entire pulse sequence and the intensity of input signals is coded according to the asynchronous change in the mean frequency of pulse sequences, is considered. The proposed means of encoding pulse sequences is tested. The invariance of positional recognition is demonstrated with respect to changes in the input signal intensity, which, according to the Weber–Fechner law, results in a synchronous change in the frequency of pulse sequences.
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