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Communication through Resonance in Spiking Neuronal Networks

Overview of attention for article published in PLoS Computational Biology, August 2014
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Title
Communication through Resonance in Spiking Neuronal Networks
Published in
PLoS Computational Biology, August 2014
DOI 10.1371/journal.pcbi.1003811
Pubmed ID
Authors

Gerald Hahn, Alejandro F. Bujan, Yves Frégnac, Ad Aertsen, Arvind Kumar

Abstract

The cortex processes stimuli through a distributed network of specialized brain areas. This processing requires mechanisms that can route neuronal activity across weakly connected cortical regions. Routing models proposed thus far are either limited to propagation of spiking activity across strongly connected networks or require distinct mechanisms that create local oscillations and establish their coherence between distant cortical areas. Here, we propose a novel mechanism which explains how synchronous spiking activity propagates across weakly connected brain areas supported by oscillations. In our model, oscillatory activity unleashes network resonance that amplifies feeble synchronous signals and promotes their propagation along weak connections ("communication through resonance"). The emergence of coherent oscillations is a natural consequence of synchronous activity propagation and therefore the assumption of different mechanisms that create oscillations and provide coherence is not necessary. Moreover, the phase-locking of oscillations is a side effect of communication rather than its requirement. Finally, we show how the state of ongoing activity could affect the communication through resonance and propose that modulations of the ongoing activity state could influence information processing in distributed cortical networks.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 2%
France 4 2%
United States 3 1%
Netherlands 2 <1%
Norway 1 <1%
Sweden 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 236 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 22%
Researcher 42 16%
Student > Master 14 5%
Professor 11 4%
Student > Bachelor 11 4%
Other 23 9%
Unknown 100 39%
Readers by discipline Count As %
Neuroscience 53 21%
Agricultural and Biological Sciences 38 15%
Medicine and Dentistry 14 5%
Computer Science 13 5%
Physics and Astronomy 10 4%
Other 28 11%
Unknown 101 39%