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A limited resource model of fault-tolerant capability against cascading failure of complex network
2008
European Physical Journal B : Condensed Matter Physics
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We have applied this model on Barabási-Albert network as well as two real transportation networks, and found that under the same amount of available resource, this model can achieve better network robustness ...
degree of vertex i and γ>0 is a free parameter. ...
Prior studies have shown that the fault-tolerant capability of network have a great impact on their robustness and function . ...
doi:10.1140/epjb/e2008-00114-1
fatcat:hkqbx2hf3zhuvlzgq5usajyhiy
Macromolecular networks and intelligence in microorganisms
2014
Frontiers in Microbiology
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We propose that, if we were to leave , terms such as "human" and "brain" out of the defining features of "intelligence," all forms of life -from microbes to humans -exhibit some or all characteristics ...
Biological networks enable molecules within cells, and even cells themselves, to communicate with each other and their environment. ...
The mold is able to create solutions with comparable efficiency, fault tolerance and cost to those of human infrastructure networks, such as the Tokyo rail system, but, unlike humans, the mold achieves ...
doi:10.3389/fmicb.2014.00379
pmid:25101076
pmcid:PMC4106424
fatcat:mm5xevb23jexrawtydiz5litdu
Editorial to the Special Issue of L-CSS on Control and Network Theory for Biological Systems
2019
IEEE Control Systems Letters
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Modeling Metabolic Networks via Robust Optimization: Lindhorst, Lucia, Findeisen and Waldherr predict robust and optimal gene expression levels in rapidly changing metabolic networks. ...
Going forward, perhaps we may see other ideas such as fault tolerance, redundancy etc. becoming mainstream in synthetic biology. ...
doi:10.1109/lcsys.2018.2876050
fatcat:eq5v6kzh6jh2tdrz4hk262vena
Evolution of Complex Modular Biological Networks
2008
PLoS Computational Biology
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ubiquitous features of biological, social, and engineering networks, such as scale-free edge distribution, small-world property, and fault-tolerance. ...
Here, we investigate the in silico evolution of modularity and robustness in complex artificial metabolic networks that encode an increasing amount of information about their environment while acquiring ...
AH and CA conceived and designed the model, simulations, and methods. AH wrote the simulation and analysis tools, performed the experiments, and analyzed the experiments. CA wrote the manuscript. ...
doi:10.1371/journal.pcbi.0040023
pmid:18266463
pmcid:PMC2233666
fatcat:e6tggizy3zedrhlojlbaw7jlym
Evolution of complex modular biological networks
2005
PLoS Computational Biology
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ubiquitous features of biological, social, and engineering networks, such as scale-free edge distribution, small-world property, and fault-tolerance. ...
Here, we investigate the in silico evolution of modularity and robustness in complex artificial metabolic networks that encode an increasing amount of information about their environment while acquiring ...
AH and CA conceived and designed the model, simulations, and methods. AH wrote the simulation and analysis tools, performed the experiments, and analyzed the experiments. CA wrote the manuscript. ...
doi:10.1371/journal.pcbi.0040023.eor
fatcat:yz4dshhrwbe4pmmjhb5v3wu2tu
State-of-the-art in artificial neural network applications: A survey
2018
Heliyon
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Therefore, we proposed feedforward and feedback propagation ANN models for research focus based on data analysis factors like accuracy, processing speed, latency, fault tolerance, volume, scalability, ...
The study found that neural-network models such as feedforward and feedback propagation artificial neural networks are performing better in its application to human problems. ...
Also, we thank reviewers of this work for their valuable comments and suggestions that improve the presentation of this research effort. ...
doi:10.1016/j.heliyon.2018.e00938
pmid:30519653
pmcid:PMC6260436
fatcat:vqddhirom5e3fft2punuo4yrh4
Increased segregation of brain networks in focal epilepsy: An fMRI graph theory finding
2015
NeuroImage: Clinical
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Global network properties were assessed with global efficiency and betweenness centrality metrics. ...
Local network properties were calculated using local efficiency, clustering coefficient and modularity metrics. ...
The Florey Institute of Neuroscience and Mental Health acknowledges the strong support from the Victorian Government and in particular the funding from the Operational Infrastructure Support Grant. ...
doi:10.1016/j.nicl.2015.05.009
pmid:26110111
pmcid:PMC4477107
fatcat:b667fiokmnbtbjui5ef54zkxfe
Learning the Structural Vocabulary of a Network
2017
Neural Computation
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These problems include uncovering growth mechanisms driving the evolution of networks, predicting protein network fragility, and identifying environmental niches for metabolic networks. ...
We use this feature vocabulary to tackle several network mining problems and find improved predictive performance versus many popular features used today. ...
Acknowledgments Thanks to Carl Kingsford, Krishnan Padmanabhan, and Alan Saghatelian for helpful comments on the manuscript. ...
doi:10.1162/neco_a_00924
pmid:28030777
fatcat:whzhoinpa5fftf2rqytx6d2aum
Emergence of scale-free properties in Hebbian networks
[article]
2003
arXiv
pre-print
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The modifications rely on neural activity and assign a special dynamic behavior to the neural networks. ...
Another striking feature of the nervous system is that spike based information transmission, which is supposed to be robust against noise, is noisy in itself: the variance of the spiking of the individual ...
It is a measure of the fault tolerance of the system. ...
arXiv:nlin/0308013v1
fatcat:dp5ky5aa65gadn4i3tth35c6he
Smallest small-world network
2002
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
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The networks with several centers and a connected subnetwork of shortcuts are shown to be "almost" as efficient. Genetic-algorithm simulations further support our results. ...
Efficiency in passage times is an important issue in designing networks, such as transportation or computer networks. ...
high fault tolerance. ...
doi:10.1103/physreve.66.046139
pmid:12443291
fatcat:udgfxhlcvbg5zppkrt4jvzdk6i
Bio-inspired fault-tolerance
2008
Proceedings of the Third International Conference on Bio-Inspired Models of Network Information and Computing Systems (Bionetics 2008)
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The fault-tolerance of living cells is due to the intrinsic robustness of attractors' landscapes of their gene regulatory networks. ...
In this paper, we consider an approach to fault-tolerance which is inspired by gene regulatory networks of living cells. ...
The core signaling network of a cell is the gene regulatory network. The fault-tolerance of living cells is due to the intrinsic robustness of attractors' landscape of their gene regulatory network. ...
doi:10.4108/icst.bionetics2008.4708
dblp:conf/bionetics/Dubrova08
fatcat:42n5io5oxvfarcpymwuubmloim
Economic small-world behavior in weighted networks
2003
European Physical Journal B : Condensed Matter Physics
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Various complex systems are analyzed, ranging from the realm of neural networks, to social sciences, to communication and transportation networks. In each case, economic small worlds are found. ...
Efficiency measures how well information propagates over the network, and cost measures how expensive it is to build a network. ...
(fault tolerance). ...
doi:10.1140/epjb/e2003-00095-5
fatcat:vpigqc4eanhhthxvzns7ingjiu
An Overview of Neuromorphic Computing for Artificial Intelligence Enabled Hardware-based Hopfield Neural Network
2020
IEEE Access
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This paper presents a comprehensive review and focuses extensively on the Hopfield algorithm's model and its potential advancement in new research applications. ...
Compared with von Neumann's computer architecture, neuromorphic systems offer more unique and novel solutions to the artificial intelligence discipline. ...
It is forming a discrete neural network that is characterized by parallel processing [69] , fault tolerance and trainability [70] . ...
doi:10.1109/access.2020.2985839
fatcat:mclixaatyzbk7kn4lvshxw7aie
Disrupted Topological Patterns of Large-Scale Network in Conduct Disorder
2016
Scientific Reports
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These results indicate that CD is accompanied by both impaired integration and segregation patterns of brain networks, and the distribution of highly connected neural network 'hubs' is also distinct between ...
Such misconfiguration extends our understanding regarding how structural neural network disruptions may underlie behavioral disturbances in adolescents with CD, and potentially, implicates an aberrant ...
number 20130162110043), and Seed Funding from Scientific and Technical Innovation Council of Shenzhen Government (grant number 000048). ...
doi:10.1038/srep37053
pmid:27841320
pmcid:PMC5107936
fatcat:iawn6v6ugjfv3mog5u3ubzytxi
Generalized Automata Networks
[chapter]
2006
Lecture Notes in Computer Science
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In this work standard lattice cellular automata and random Boolean networks are extended to a wider class of generalized automata networks having any graph topology as a support. ...
Dynamical, computational, and problem solving capabilities of these automata networks are then discussed through selected examples, and put into perspective with respect to current and future research. ...
The existence of short paths between any pair of nodes has been found since then in real networks as diverse as the Internet, airline routes, the World Wide Web, neural, genetic, and metabolic networks ...
doi:10.1007/11861201_5
fatcat:rxfeludrxfd7hetmybkdquzuma
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