Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums
- Authors
- Ozasa, Kazunari; Lee, Jeesoo; Song, Simon; Hara, Masahiko; Maeda, Mizuo
- Issue Date
- Jan-2013
- Publisher
- ELSEVIER
- Keywords
- Natural computing; Soft computing; Biocomputing; Microbe-based neurocomputing; Neural network algorithm; Traveling salesman problem (TSP); Euglena gracilis; Micro-aquarium; Microfluidic device; Optical feedback; Phototaxis; Flagellate microbial cells; Noise oscillator
- Citation
- APPLIED SOFT COMPUTING, v.13, no.1, pp.527 - 538
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED SOFT COMPUTING
- Volume
- 13
- Number
- 1
- Start Page
- 527
- End Page
- 538
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163642
- DOI
- 10.1016/j.asoc.2012.09.008
- ISSN
- 1568-4946
- 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 기계공학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163642)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.