Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Computational Model Based on Random Boolean Networks
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.ORCID iD: 0000-0001-7382-9408
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
2007 (English)In: 2007 2ND BIO-INSPIRED MODELS OF NETWORKS, INFORMATION AND COMPUTING SYSTEMS (BIONETICS), NEW YORK: IEEE , 2007, 24-31 p.Conference paper, Published paper (Refereed)
Abstract [en]

For decades, the size of silicon CMOS transistors has decreased steadily while their performance has improved. As the devices approach their physical limits, the need for alternative materials, structures and computation schemes becomes evident. This paper considers a computation scheme based on an abstract model of gene regulatory networks called Random Boolean Networks. Our interest in Random Boolean Networks is due to their attractive fault-tolerant features. The parameters of a network can be tuned so that it exhibits a robust behavior in which minimal changes in network's connections, values of state variables, or associated functions, typically cause no variation in the network's dynamics. A computation scheme based on random networks also seems to be appealing for emerging technologies in which it is difficult to control the growth direction or precise alignment, e.g. carbon nanotubes.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2007. 24-31 p.
Keyword [en]
Random Boolean Network, attractor, Boolean function, fault-tolerance, carbon nanotubes
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-30745DOI: 10.1109/BIMNICS.2007.4610075ISI: 000268585800004Scopus ID: 2-s2.0-53149093263ISBN: 978-1-4244-3649-1 (print)OAI: oai:DiVA.org:kth-30745DiVA: diva2:401921
Conference
2nd International Conference on Bio-Inspired Models of Network, Information and Computing Systems, Budapest, HUNGARY, DEC 10-13, 2007
Note
QC 20110304Available from: 2011-03-04 Created: 2011-03-04 Last updated: 2011-03-04Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Dubrova, Elena

Search in DiVA

By author/editor
Dubrova, ElenaTeslenko, MaximTenhunen, Hannu
By organisation
Electronic, Computer and Software Systems, ECS
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf