Results 341 to 350 of about 11,230,345 (378)
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Dynamics in scheduled networks
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2009When studying real or virtual systems through complex networks theories, usually time restrictions are neglected, and a static structure is defined to characterize which node is connected to which other. However, this approach is oversimplified, as real networks are indeed dynamically modified by external mechanisms. In order to bridge the gap, in this
Miguel Cea +2 more
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Annual Review of Neuroscience, 2005
Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory ...
L. F. Abbott +2 more
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Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory ...
L. F. Abbott +2 more
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Networks, Dynamics, and Modularity
Physical Review Letters, 2004The identification of general principles relating structure to dynamics has been a major goal in the study of complex networks. We propose that the special case of linear network dynamics provides a natural framework within which a number of interesting yet tractable problems can be defined.
Jonathan McCoy +2 more
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The dynamics of networks [PDF]
, 1995 A more comprehensive notion of network emerges when we admit the possibility that technology changes and we actually focus attention on the complementarity of different firms in the generation and adoption of new superior technologies. We define dynamic networks as a set of technically differentiated production units that are complementary in the ...
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1989
Abstract : The primary objective of this project has been the development of systems that reason in dynamic and open-ended environment and that use networks as their primary representation language. The focus of our research has been temporal reasoning, neural networks, truth maintenance, and default reasoning.
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Abstract : The primary objective of this project has been the development of systems that reason in dynamic and open-ended environment and that use networks as their primary representation language. The focus of our research has been temporal reasoning, neural networks, truth maintenance, and default reasoning.
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Controlling biocatalytic cascades with enzyme–DNA dynamic networks
Nature Catalysis, 2020Chen Wang, Liang Yue, I. Willner
semanticscholar +1 more source
Faraday Discussions of the Chemical Society, 1974
A review is presented of recent work calculating the dynamic properties of polymers in solution, where an attempt is made to see how changes in frequency, density and flexibility take one through various regimes of viscosity to elastic behaviour and how the number of entanglements and cross links affect this behaviour.
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A review is presented of recent work calculating the dynamic properties of polymers in solution, where an attempt is made to see how changes in frequency, density and flexibility take one through various regimes of viscosity to elastic behaviour and how the number of entanglements and cross links affect this behaviour.
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne T Penberthy +2 more
exaly
2019
This chapter explores the dynamic functions that emerge when there are multiple flows on a network. The diffusion of innovation framework, Metcalfe’s law, inhibition and its role in network balance, and the power of weak ties are all used as examples. A major focus of the chapter is on how networks are formed from the combination of structural motifs ...
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This chapter explores the dynamic functions that emerge when there are multiple flows on a network. The diffusion of innovation framework, Metcalfe’s law, inhibition and its role in network balance, and the power of weak ties are all used as examples. A major focus of the chapter is on how networks are formed from the combination of structural motifs ...
openaire +2 more sources