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Towards implementation of cellular automata in Microbial Fuel Cells

The Microbial Fuel Cell (MFC) is a bio-electrochemical transducer converting waste products into electricity using microbial communities. Cellular Automaton (CA) is a uniform array of finite-state machines that update their states in discrete time depending on states of their closest neighbors by th...

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Autores principales: Tsompanas, Michail-Antisthenis I., Adamatzky, Andrew, Sirakoulis, Georgios Ch., Greenman, John, Ieropoulos, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428934/
https://www.ncbi.nlm.nih.gov/pubmed/28498871
http://dx.doi.org/10.1371/journal.pone.0177528
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author Tsompanas, Michail-Antisthenis I.
Adamatzky, Andrew
Sirakoulis, Georgios Ch.
Greenman, John
Ieropoulos, Ioannis
author_facet Tsompanas, Michail-Antisthenis I.
Adamatzky, Andrew
Sirakoulis, Georgios Ch.
Greenman, John
Ieropoulos, Ioannis
author_sort Tsompanas, Michail-Antisthenis I.
collection PubMed
description The Microbial Fuel Cell (MFC) is a bio-electrochemical transducer converting waste products into electricity using microbial communities. Cellular Automaton (CA) is a uniform array of finite-state machines that update their states in discrete time depending on states of their closest neighbors by the same rule. Arrays of MFCs could, in principle, act as massive-parallel computing devices with local connectivity between elementary processors. We provide a theoretical design of such a parallel processor by implementing CA in MFCs. We have chosen Conway’s Game of Life as the ‘benchmark’ CA because this is the most popular CA which also exhibits an enormously rich spectrum of patterns. Each cell of the Game of Life CA is realized using two MFCs. The MFCs are linked electrically and hydraulically. The model is verified via simulation of an electrical circuit demonstrating equivalent behaviours. The design is a first step towards future implementations of fully autonomous biological computing devices with massive parallelism. The energy independence of such devices counteracts their somewhat slow transitions—compared to silicon circuitry—between the different states during computation.
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spelling pubmed-54289342017-05-26 Towards implementation of cellular automata in Microbial Fuel Cells Tsompanas, Michail-Antisthenis I. Adamatzky, Andrew Sirakoulis, Georgios Ch. Greenman, John Ieropoulos, Ioannis PLoS One Research Article The Microbial Fuel Cell (MFC) is a bio-electrochemical transducer converting waste products into electricity using microbial communities. Cellular Automaton (CA) is a uniform array of finite-state machines that update their states in discrete time depending on states of their closest neighbors by the same rule. Arrays of MFCs could, in principle, act as massive-parallel computing devices with local connectivity between elementary processors. We provide a theoretical design of such a parallel processor by implementing CA in MFCs. We have chosen Conway’s Game of Life as the ‘benchmark’ CA because this is the most popular CA which also exhibits an enormously rich spectrum of patterns. Each cell of the Game of Life CA is realized using two MFCs. The MFCs are linked electrically and hydraulically. The model is verified via simulation of an electrical circuit demonstrating equivalent behaviours. The design is a first step towards future implementations of fully autonomous biological computing devices with massive parallelism. The energy independence of such devices counteracts their somewhat slow transitions—compared to silicon circuitry—between the different states during computation. Public Library of Science 2017-05-12 /pmc/articles/PMC5428934/ /pubmed/28498871 http://dx.doi.org/10.1371/journal.pone.0177528 Text en © 2017 Tsompanas et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tsompanas, Michail-Antisthenis I.
Adamatzky, Andrew
Sirakoulis, Georgios Ch.
Greenman, John
Ieropoulos, Ioannis
Towards implementation of cellular automata in Microbial Fuel Cells
title Towards implementation of cellular automata in Microbial Fuel Cells
title_full Towards implementation of cellular automata in Microbial Fuel Cells
title_fullStr Towards implementation of cellular automata in Microbial Fuel Cells
title_full_unstemmed Towards implementation of cellular automata in Microbial Fuel Cells
title_short Towards implementation of cellular automata in Microbial Fuel Cells
title_sort towards implementation of cellular automata in microbial fuel cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428934/
https://www.ncbi.nlm.nih.gov/pubmed/28498871
http://dx.doi.org/10.1371/journal.pone.0177528
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