Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums
DC Field | Value | Language |
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dc.contributor.author | Ozasa, Kazunari | - |
dc.contributor.author | Lee, Jeesoo | - |
dc.contributor.author | Song, Simon | - |
dc.contributor.author | Hara, Masahiko | - |
dc.contributor.author | Maeda, Mizuo | - |
dc.date.accessioned | 2022-07-16T11:42:21Z | - |
dc.date.available | 2022-07-16T11:42:21Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2013-01 | - |
dc.identifier.issn | 1568-4946 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163642 | - |
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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.title | Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Song, Simon | - |
dc.identifier.doi | 10.1016/j.asoc.2012.09.008 | - |
dc.identifier.scopusid | 2-s2.0-84869455834 | - |
dc.identifier.wosid | 000311506900044 | - |
dc.identifier.bibliographicCitation | APPLIED SOFT COMPUTING, v.13, no.1, pp.527 - 538 | - |
dc.relation.isPartOf | APPLIED SOFT COMPUTING | - |
dc.citation.title | APPLIED SOFT COMPUTING | - |
dc.citation.volume | 13 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 527 | - |
dc.citation.endPage | 538 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.subject.keywordPlus | PHOTOPHOBIC REACTIONS | - |
dc.subject.keywordPlus | BACTERIAL | - |
dc.subject.keywordPlus | TRANSDUCTION | - |
dc.subject.keywordPlus | CHEMOTAXIS | - |
dc.subject.keywordPlus | PHOTOTAXIS | - |
dc.subject.keywordPlus | SIMULATION | - |
dc.subject.keywordPlus | GRACILIS | - |
dc.subject.keywordPlus | PH | - |
dc.subject.keywordAuthor | Natural computing | - |
dc.subject.keywordAuthor | Soft computing | - |
dc.subject.keywordAuthor | Biocomputing | - |
dc.subject.keywordAuthor | Microbe-based neurocomputing | - |
dc.subject.keywordAuthor | Neural network algorithm | - |
dc.subject.keywordAuthor | Traveling salesman problem (TSP) | - |
dc.subject.keywordAuthor | Euglena gracilis | - |
dc.subject.keywordAuthor | Micro-aquarium | - |
dc.subject.keywordAuthor | Microfluidic device | - |
dc.subject.keywordAuthor | Optical feedback | - |
dc.subject.keywordAuthor | Phototaxis | - |
dc.subject.keywordAuthor | Flagellate microbial cells | - |
dc.subject.keywordAuthor | Noise oscillator | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1568494612004243?via%3Dihub | - |
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