Bacterial self-organisation and computation
Amos, Martyn, Hodgson, D. A. (David A.) and Gibbons, Alan. (2007) Bacterial self-organisation and computation. International Journal of Unconventional Computing, 3 (3). pp. 199-210. ISSN 1548-7199Full text not available from this repository.
Official URL: http://www.oldcitypublishing.com/IJUC/IJUCcontents...
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|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Life Sciences (2010- )|
|Journal or Publication Title:||International Journal of Unconventional Computing|
|Publisher:||Old City Publishing, Inc.|
|Number of Pages:||12|
|Page Range:||pp. 199-210|
|Access rights to Published version:||Restricted or Subscription Access|
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