Title :
Dynamics of autowave processes in neuron-like systems and CNN technology
Author_Institution :
Inst. of Appl. Phys., Acad. of Sci., Nizhny Novgorod, Russia
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;
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
DOI :
10.1109/CNNA.2000.876816
