Dynamics of autowave processes in neuron-like systems and CNN technology
Vladimir G. Yakhno · 2002
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.