Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송시몬 | - |
dc.date.accessioned | 2018-04-19T11:34:24Z | - |
dc.date.available | 2018-04-19T11:34:24Z | - |
dc.date.issued | 2013-01 | - |
dc.identifier.citation | Applied Soft Computing Journal, January 2013, 13(1), p.527-538 | en_US |
dc.identifier.issn | 1568-4946 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1568494612004243 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/69788 | - |
dc.description.abstract | We report on neurocomputing performed with real Euglena cells confined in micro-aquariums, on which two-dimensional optical feedback is applied using the Hopfield-Tank algorithm. Trace momentum, an index of swimming activity of Euglena cells, is used as the input/output signal for neurons in the neurocomputation. Feedback as blue-light illumination results in temporal changes in trace momentum according to the photophobic reactions of Euglena. Combinatorial optimization for a four-city traveling salesman problem is achieved with a high occupation ratio of the best solutions. Two characteristics of Euglena-based neurocomputing desirable for combinatorial optimization are elucidated: (1) attaining one of the best solutions to the problem, and (2) searching for a number of solutions via dynamic transition between the best solutions. Mechanisms responsible for the two characteristics are analyzed in terms of network energy, photoreaction ratio, and dynamics/statistics of Euglena movements. The spontaneous fluctuation in input/output signals and reduction in photoreaction ratio were found to be key factors in producing characteristic (1), while the photo-insensitive Euglena cells or the accidental evacuation of cells from non-illuminated areas causes characteristic (2). Furthermore, we show that the photophobic reactions of Euglena involves various survival strategies such as adaptation to blue-light or awakening from dormancy, which can extend the performance of Euglena-based neurocomputing toward deadlock avoidance or program-less adaptation. Finally, two approaches for achieving a high-speed Euglena-inspired Si-based computation are described. (C) 2012 Elsevier B. V. All rights reserved. | en_US |
dc.description.sponsorship | The authors would like to thank very much Mr. Kengo Suzuki and Ms. Sharbanee Mitra at Euglena Co., Ltd. (http://euglena.jp/engligh) for supplying Euglena cells and suggestive information on their nature. They also thank Dr. Masashi Aono for four-city TSP discussion. They acknowledge financial support for this study by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scientific Research (B), 21360192, 2009–2012. This research was supported partially by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) of Korea (grant number: K20901000006-09E0100-00610) and the Seoul R&BD Program (10919). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Science B. V., Amsterdam | en_US |
dc.subject | Natural computing | en_US |
dc.subject | Soft computing | en_US |
dc.subject | Biocomputing | en_US |
dc.subject | Microbe-based neurocomputing | en_US |
dc.subject | Neural network algorithm | en_US |
dc.subject | Traveling salesman problem (TSP) | en_US |
dc.subject | Euglena gracilis | en_US |
dc.subject | Micro-aquarium | en_US |
dc.subject | Microfluidic device | en_US |
dc.subject | Optical feedback | en_US |
dc.subject | Phototaxis | en_US |
dc.subject | Flagellate microbial cells | en_US |
dc.subject | Noise oscillator | en_US |
dc.subject | ESCHERICHIA-COLI | en_US |
dc.subject | PHOTOPHOBIC REACTIONS | en_US |
dc.subject | BACTERIAL CHEMOTAXIS | en_US |
dc.subject | PHOTOTAXIS | en_US |
dc.subject | GRACILIS | en_US |
dc.subject | TRANSDUCTION | en_US |
dc.subject | SIMULATION | en_US |
dc.subject | MODEL | en_US |
dc.subject | PH | en_US |
dc.title | Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums | en_US |
dc.type | Article | en_US |
dc.relation.no | 1 | - |
dc.relation.volume | 13 | - |
dc.identifier.doi | 10.1016/j.asoc.2012.09.008 | - |
dc.relation.page | 527-538 | - |
dc.relation.journal | APPLIED SOFT COMPUTING | - |
dc.contributor.googleauthor | Ozasa, K. | - |
dc.contributor.googleauthor | Lee, J. | - |
dc.contributor.googleauthor | Song, S. | - |
dc.contributor.googleauthor | Hara, M. | - |
dc.contributor.googleauthor | Maeda, M. | - |
dc.relation.code | 2009212987 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | simonsong | - |
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