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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5428934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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