A pictorial pattern recognition based on an associative memory by use of the reaction-diffusion equation

Visual information processing in biological systems is performed simultaneously and in parallel at each neural unit. That is, a global task with no supervisor is achieved by the interaction among many subsystems. In this sense, the visual process shares the common functional structure with 'autonomous decentralized systems' which have attracted much attention in the field of system engineering. We attempt to design a pictorial pattern recognition system based on the concept of the autonomous decentralized system. The local interaction among subsystems is described by reaction-diffusion equations, in which each subsystem utilizes only the neighboring information around itself.<
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