Presentation 2005/11/12
Transmission characteristics of 3-node Boolean subnetworks with random binary sequence inputs
Chikoo OOSAWA, Kazuhiro TAKEMOTO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Random Boolean networks(RBNs) has been used as a model for complex system such as gene regulatory networks, neural networks, social interaction and biological evolution. Since the original RBN has neither inputs from external nor outputs to external system, the dynamical properties of RBN has been captured by collective behaviors from the entire network. We propose an analytical method for Boolean subnetwork with both input and output to understand the transmission characteristics. Even limited cases were investigated, we obtained variety of characteristic functions that denpend on both subnetwork topologies and combination of Boolean functions. Several characteristic properties are calculated by the characteristic functions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Boolean network / characteristic function / entropy
Paper # NLP2005-73,NC2005-65
Date of Issue

Conference Information
Committee NC
Conference Date 2005/11/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Transmission characteristics of 3-node Boolean subnetworks with random binary sequence inputs
Sub Title (in English)
Keyword(1) Boolean network
Keyword(2) characteristic function
Keyword(3) entropy
1st Author's Name Chikoo OOSAWA
1st Author's Affiliation Department of Bioscience and Bioinformatics, Kyushu Institute of Technology:Bioalgorithm Project, Department of Bioscience and Bioinformatics, Kyushu Institute of Technology()
2nd Author's Name Kazuhiro TAKEMOTO
2nd Author's Affiliation Department of Bioscience and Bioinformatics, Kyushu Institute of Technology
Date 2005/11/12
Paper # NLP2005-73,NC2005-65
Volume (vol) vol.105
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue