An oscillatory network model with controllable synchronization and neuromorphic dynamical method of information processing

Spatially two-dimensional oscillatory neural network model with inhomogeneous modifiable oscillatory coupling has been designed and adaptive dynamical method of brightness image segmentation (reconstruction) based on self-organized cluster synchronization in the oscillatory network has been developed. The method imitates the known dynamical binding phenomenon that is presumably used by a number of brain neural structures during their performance. The oscillatory-network approach demonstrates the following capabilities: 1) high quality segmentation of real grey-level and color images; 2) selective image segmentation (exclusion of unnecessary information); 3) solution of a problem of visual scene segmentation — the problem of successive selection of all spatially separated image fragments of almost equal brightness.