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Bacterial self-organisation and computation
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Amos, Martyn, Hodgson, D. A. and Gibbons, Alan (Alan M.) (2007) Bacterial self-organisation and computation. International Journal of Unconventional Computing, Volume 3 (Number 3). pp. 199-210. ISSN 1548-7199.
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Abstract
Bacterial colonies are able to detect and react to changes in their environment. The distributed self-organisation of large numbers of bacteria into well-defined spatial structures is a form of computation that is deserving of further attention. In this paper we review how one particular collective response - bacterial chemotaxis - has been modelled in silico to generate novel algorithms. We describe how Such models may be further extended for the purposes of directed pattern-formation in bacteria, and conclude with a discussion of some fundamental questions that we aim to address with this approach.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
Journal or Publication Title: | International Journal of Unconventional Computing | ||||
Publisher: | Old City Publishing, Inc. | ||||
ISSN: | 1548-7199 | ||||
Official Date: | 2007 | ||||
Dates: |
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Volume: | Volume 3 | ||||
Number: | Number 3 | ||||
Number of Pages: | 12 | ||||
Page Range: | pp. 199-210 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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