A Computational Scheme Based on Random Boolean Networks
2008 (English)In: TRANSACTIONS ON COMPUTATIONAL SYSTEMS BIOLOGY X / [ed] Priami C; Akan OB; Dressler F; Ngom A, 2008, Vol. 5410, 41-58 p.Conference paper (Refereed)
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 computational schemes becomes evident. This paper considers a computational scheme based oil ail abstract model of the gene regulatory network called Random Boolean Network (RBN). On one hand, our interest in RBNs is due to their attractive fault-tolerant features. The parameters of an RBN 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. On the other hand, a computational scheme based on RBNs seems 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
2008. Vol. 5410, 41-58 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5410
KAUFFMAN NETWORKS, AUTOMATA, MODEL
IdentifiersURN: urn:nbn:se:kth:diva-31237DOI: 10.1007/978-3-540-92273-5_3ISI: 000264205900003ScopusID: 2-s2.0-59149092595ISBN: 978-3-540-92272-8OAI: oai:DiVA.org:kth-31237DiVA: diva2:405674
2nd International Conference on Bio-Inspired Models of Network, Information and Computing Systems, Budapest, HUNGARY, DEC 10-13, 2007
QC 201103232011-03-232011-03-112011-03-23Bibliographically approved