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Analog feedback in Euglena-based neural network computing - Enhancing solution-search capability through reaction threshold diversity among cells

Title
Analog feedback in Euglena-based neural network computing - Enhancing solution-search capability through reaction threshold diversity among cells
Author
송시몬
Keywords
Microbe-based neurocomputing; Euglena gracilis; Analog feedback; Neural network computing; Combinatorial optimization; Adaptive reaction; PHOTOPHOBIC REACTIONS; OPTICAL FEEDBACK; MICRO-AQUARIUMS; CHEMOTAXIS; SIMULATION; GRADIENT; LIGHT
Issue Date
2014-09
Publisher
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Citation
Neurocomputing, 2014, 140, P.291-298
Abstract
Microbe-based neural network computing, where the reaction of microbial cells to external stimuli is incorporated in the function of virtual neurons, has high potential for developing soft computing based on the survival strategies of the microbe. To utilize reaction-threshold diversity among the cells, we examined analog feedback in Euglena-based neurocomputing by solving a simple combinatorial optimization problem. The analog feedback was performed by blue light illumination to Euglena cells, where the intensity of the blue light was controlled using the Hopfleld-Tank algorithm with a sigmoid function. The solution patterns obtained with analog feedback had greater variations than those with digital feedback, implying that the solution-search capability of Euglena-based neurocomputing is enhanced by analog feedback. Moreover, the solutions obtained with analog feedback comprised one stable core-motive selection and additional flexible selections, which are associated with hesitation shown by humans when faced with a frustrated task. The study shows that using analog feedback in Euglena-based neurocomputing is promising in terms of incorporating the diversity of photoreactions of Euglena cells to enhance the solution-search capability for combinatorial optimization problems and to utilize the adaptive reaction of Euglena cells. (C) 2014 Elsevier B.V. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0925231214004147http://hdl.handle.net/20.500.11754/48891
ISSN
0925-2312
DOI
10.1016/j.neucom.2014.03.009
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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