2012 Fiscal Year Final Research Report
Towards Noise-driven Information Processing Systems for Nano-scale Molecular and Semiconductor Devices
| Project Area | Emergent Chemistry of Nano-scale Molecular System |
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| Project/Area Number |
20111004
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | Hokkaido University |
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Principal Investigator |
ASAI Tetsuya 北海道大学, 大学院・情報科学研究科, 准教授 (00312380)
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| Co-Investigator(Renkei-kenkyūsha) |
OYA Takahide 横浜国立大学, 工学研究院, 准教授 (30432066)
MOTOIKE Ikuko 東北大学, 大学院・情報科学研究科, 助教 (70347178)
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| Research Collaborator |
ADAMATZKY Andrew University of the West of England, CEMS, Professor
SCHMID Alexndre EPFL, LSM, Research Associate
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| Project Period (FY) |
2008 – 2012
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| Keywords | 確率共鳴 / 雑音利用 / アナログCMOS / 量子デバイス / 生体模倣 / 電子回路 |
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| Research Abstract |
Aiming at the development of noise-driven information processing systems on possible nano-scale semiconductor devices, the following systems have been developed: (i) weak-signal detector based on stochastic resonance, (ii) an analog-to-digital converter that utilized noise and fluctuations, (iii) fast signal transmission utilizing mismatches of semiconductor devices, (iv) noise-induced phase synchronization among subthreshold CMOS oscillators, (v) ultra-low-power logic memory cells utilizing noise and fluctuations, and (vi) brain-inspired information processing circuits that utilized noises. Molecular devices for (i), (iii) and (v) have also been developed with group A04, and we could observe expected operations of the molecular devices for (i). For the rest items [(ii), (iv), and (v)], we evaluated the model on nano semiconductor devices, and could observe desired dynamical operations.
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[Book] "Noise-tolerant analog circuits for sensory segmentation based on symmetric STDP learning," Advances in Neuro-Information Processing, Koppen M., Kasabov N., and Coghill G, Eds., Lecture Notes in Computer Science, vol.55072009
Author(s)
Tovar G.M., Asai T., and Amemiya Y
Total Pages
851-858
Publisher
Springer, Berlin / Heidelberg
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