Dynamics of autowave processes in neuron-like systems and CNN technology

Author

Yakhno, V.G.

Author_Institution

Inst. of Appl. Phys., Acad. of Sci., Nizhny Novgorod, Russia

fYear

2000

fDate

2000

Firstpage

33

Lastpage

38

Abstract

The most typical basic models of neuron-like media which describe both dynamics of homogeneous systems and hierarchic levels of recognition of complex images are considered. These models are analogous ones used in cellular neural net (CNN) technology. The results of studies of the possible dynamics of spatio-temporal (autowaves) structures are presented. The obtained solutions were used to interpret the dynamics of a normal perception modes and violations in the transformation of sensor signals in physiological experiments. Examples of the dynamics of parallel processing modes of complex images and adaptive modes for making a decision system are demonstrated

Keywords

cellular neural nets; image recognition; parallel processing; CNN technology; autowave process dynamics; cellular neural net; complex image recognition; decision system; homogeneous system dynamics; image recognition hierarchic levels; neuron-like systems; normal perception mode dynamics; physiological experiments; spatio-temporal structures; Adaptive systems; Biomembranes; Cellular neural networks; Image recognition; Mathematical model; Neurons; Parallel processing; Physics; Sensor phenomena and characterization; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Conference_Location

Catania

Print_ISBN

0-7803-6344-2

Type

conf

DOI

10.1109/CNNA.2000.876816

Filename

876816