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

本课题的目的是用具有可激振性等基本活动性质的硅神经元单元构建一个宏观连接系统，利用构造方法获得类脑信息系统。我们提出了逆函数延迟（ID）模型。该模型能够在不减小记忆模式盆大小的情况下增加联想记忆容量。此外，将该模型改进为离散时间模型后，对于具有较高处理速度的组合优化问题，成功率达到100%。我们已经成功实施了100多个城市的TSP问题。我们还分析了一个组合优化问题100%成功率下ID模型性能的参数依赖性。提出了一种基于ID模型的时间序列模式存储系统。研究了ID模型的硬件集成系统，即模拟电路和数字FPGA芯片。我们为ID硬件模型确认了所开发系统的运行。将该模型发展为爆燃射击模型，并构建了其硬件系统。我们将构建主动人工脑系统作为下一个研究目标。

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.