DocumentCode
3519114
Title
Coupled Direct and Indirect Positive Feedback Loop Motifs Induce Robust Synchronized Bursting Behaviors
Author
Dong, Chao-Yi ; Chen, Xiao-Yan
Author_Institution
Sch. of Electr. Power, Inner Mongolia Univ. of Technol., Huhhot, China
fYear
2011
fDate
28-29 May 2011
Firstpage
1
Lastpage
4
Abstract
The understanding of the physiological basis of basic functions of brains requires detailed information about the functional structures of neuronal networks. Feedback loops are crucial dynamic motifs playing a pivotal role in the regulation and control of many important physiological and biochemical processes such as gene transcription, signal transduction, and metabolism (intracellular processes), and neuronal coding and decoding (intercellular processes). Based on simulations for synthetic spiking neuronal network models, it is shown that coupled direct and indirect PFL motifs be an underlying mechanism for robust synchronized bursting behaviors, which are one of the most remarkable characteristics of biological neuronal networks. This result may infer a crucial structural module for designing both in vitro and in vivo neuronal net-works.
Keywords
neural nets; biological neuronal network; direct positive feedback loop motif; gene transcription; in-vitro neuronal network; in-vivo neuronal network; indirect positive feedback loop motif; metabolism; neuronal coding; neuronal decoding; robust synchronized bursting behavior; signal transduction; synthetic spiking neuronal network; Artificial neural networks; Biological neural networks; Feedback loop; Neurons; Robustness; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9855-0
Electronic_ISBN
978-1-4244-9857-4
Type
conf
DOI
10.1109/ISA.2011.5873258
Filename
5873258
Link To Document