e-space
Manchester Metropolitan University's Research Repository

Bacterial self-organisation and computation

Amos, Martyn and Hodgson, David A. and Gibbons, Alan (2007) Bacterial self-organisation and computation. International journal of unconventional computing, 3 (3). pp. 199-210. ISSN 1548-7202

Full text not available from this repository.

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.

Impact and Reach

Statistics

Downloads
Activity Overview
0Downloads
167Hits

Additional statistics for this dataset are available via IRStats2.

Actions (login required)

Edit Item Edit Item