The formation of synchronization cliques during the development of modular neural networks.

@article{Fuchs2009TheFO,
  title={The formation of synchronization cliques during the development of modular neural networks.},
  author={E. Fuchs and Amir Ayali and Eshel Ben-Jacob and Stefano Boccaletti},
  journal={Physical biology},
  year={2009},
  volume={6 3},
  pages={
          036018
        }
}
Modular organization is a special feature shared by many biological and social networks alike. It is a hallmark for systems exhibiting multitasking, in which individual tasks are performed by separated and yet coordinated functional groups. Understanding how networks of segregated modules develop to support coordinated multitasking functionalities is the main topic of the current study. Using simulations of biologically inspired neuronal networks during development, we study the formation of… 
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36 Citations
Background Citations
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Methods Citations
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36 Citations

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  • 2010
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References

SHOWING 1-10 OF 42 REFERENCES
The emergence and properties of mutual synchronization in in vitro coupled cortical networks
TLDR
The results agree with the experimental findings that the initiation and function asymmetry can be separately regulated, which implies that information transfer (activity propagation) and information processing (function) can be regulated separately in coupled neural networks.
Coemergence of regularity and complexity during neural network development
TLDR
It is found that individual neuronal activity before synchronization was characterized by high regularity and low complexity, and during neuronal wiring, there was a transient period of reorganization marked by low regularity, which then leads to coemergence of elevated regularality and functional (nonstochastic) complexity.
Spontaneous evolution of modularity and network motifs.
  • N. Kashtan, U. Alon
  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 2005
TLDR
Light is shed on the evolutionary forces that promote structural simplicity in biological networks and ways to improve the evolutionary design of engineered systems are offered.
Complex networks: Structure and dynamics
Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons
TLDR
The activity of early-to-fire neurons reliably forecasts an upcoming network spike and provides means for expedited propagation between assemblies, and theory predicts that scale-free topology allows for synchronization time that does not increase markedly with network size; this prediction is supported.
Paths to synchronization on complex networks.
TLDR
It is shown how for fixed coupling strengths local patterns of synchronization emerge differently in homogeneous and heterogeneous complex networks, driving the process towards a certain global synchronization degree following different paths.
Collective dynamics of ‘small-world’ networks
TLDR
Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Organization, development and function of complex brain networks
The structure and dynamics of networks
  • M. Newman
  • Computer Science
    Princeton studies in complexity
  • 2006
TLDR
The degree distribution, twopoint correlations, and clustering are the studied topological properties and an evolution of networks is studied to shed light on the influence the dynamics has on the network topology.
t Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses
TLDR
It is found that the particular intensities of the external stimulus to specific neurons were crucial to evoke population bursts and therefore depends on the spectrum of basal discharge rates across the population and not on the anatomical individuality of the neurons, because this was random.
...
1
2
3
4
5
...