The architectonic Study of information processing system based on fabricating an active artificial brain

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The purpose of this subject is construct a macro connecting system with silicon neuron units which have basic active properties including excitable oscillation nature to obtain the Brain like information system by using the constructive method. We proposed the Inverse function Delayed (ID) model. The model is able to increase the memory capacity for association without decrease of basin size for the memorized patterns. Furthermore, the model, which is modified into a discrete time model, achieves 100% success rate for combinatorial optimization problems with high processing speed. We have successfully carried out the TSP problems over 100 cities and etc. We also analyzed the parameter dependence of the performance of the ID model for 100% success rate of one of combinatorial optimization problems. We proposed the memory system for time sequential patterns by using the ID model. Hardware integrated system for the ID model has been investigated as an analog circuit and a digital FPGA chip. We confirmed the operation of the developed system for the ID hardware model. The ID model has been developed to the burst firing model, and its hardware system was also constructed. We are going to construct the active artificial brain system as a next research target.