April 2016
Intermediate to advanced
552 pages
17h 2m
English
Content preview from Bio-Inspired Computing and Networking
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Chapter 14
Attractor Selection as
Self-Adaptive Control
Mechanism for
Communication
Networks
Kenji Leibnitz, Masayuki Murata, and Tetsuya Yomo
Contents
14.1 Introduction ............................................................. 370
14.2 NoiseandFluctuationsin DynamicalSystems.......................... 371
14.2.1 DynamicSystemsunderthe InfluenceofNoise................ 374
14.2.2 RelationshipbetweenFluctuationand ItsResponse ........... 375
14.3 Mathematical Models of Attractor Selection ............................ 376
14.3.1 Mutually Inhibitory Operon Regulatory Network ............. 376
14.3.2 Sigmoid Gene Activation Model ............................... ...
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