The University of Southampton
University of Southampton Institutional Repository

Noise as a Computational Resource

Dasmahapatra, Srinandan, Werner, Joern and Zauner, Klaus-Peter (2006) Noise as a Computational Resource International Journal of Unconventional Computing, Volume, (4), pp. 305-319.

Record type: Article


In systems far from equilibrium, such as cellular biomolecular assemblies, energetic input is converted into systematic execution of function. The functional machinery comprises transport and interconversion of matter, as well as signalling systems and the regulation of other functional components. Within the microscopic dimensions of the cell, these processes are carried out by discrete co-ordinated interactions among molecules in a noisy environment. We take the position that given the pronounced effects noise can have in such small volumes having low copy numbers of molecular species, cells have harnessed evolutionary pressures into making productive use of noise. Correspondingly, given the drive towards miniaturisation in future computational hardware, we can view the attendant concerns about “taming” the noise inherent to this regime as an opportunity to learn from the way cells fulfil their transport and information processing needs. In particular, we shall look at how molecular ratchets exploit thermal noise, how signalling processes may exploit fluctuations in the number of enzymes, and how the ability to read out from conformational substates of enzymes can enable targeted low-pass filtering to guide computational steps through a suitably mapped state space.

PDF IJUC-2006-noise.pdf - Other
Download (89kB)

More information

Published date: December 2006
Organisations: Agents, Interactions & Complexity, Southampton Wireless Group


Local EPrints ID: 263230
PURE UUID: eef4f6f6-a01f-4ffe-ae3f-c12bf0d37613

Catalogue record

Date deposited: 17 Jan 2007
Last modified: 24 Jul 2017 16:41

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.