| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
We have studied analysis and implementation of digital maps (Dmaps). The major results are as the following. First, we have developed an analysis method based on two feature quantities. The first quantity characterizes plentifulness of periodic orbits and the second quantity characterizes stability of the periodic orbits. Applying the method, typical Dmap examples are analyzed and basic phenomena are classified. Second, we have developed a simple evolutionary algorithm to realize a desired Dmap. The algorithm uses individuals each of which corresponds to one Dmap and the number of individuals can vary flexibly. Using typical example problems, the algorithm efficiency is confirmed. Third, we have developed a realization method of Dmaps by means of digital spiking neurons (DSNs). The DSN consists of two shift registers connected by a wiring circuit and can generate various periodic spike-trains. Presenting a FPGA based simple test circuit, the DSN dynamics is confirmed.
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