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Stochastic variational learning in recurrent spiking networks

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2014
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Citations

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71 Dimensions

Readers on

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141 Mendeley
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1 CiteULike
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Title
Stochastic variational learning in recurrent spiking networks
Published in
Frontiers in Computational Neuroscience, April 2014
DOI 10.3389/fncom.2014.00038
Pubmed ID
Authors

Danilo Jimenez Rezende, Wulfram Gerstner

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United Kingdom 2 1%
France 2 1%
Switzerland 1 <1%
New Zealand 1 <1%
United States 1 <1%
Unknown 132 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 26%
Researcher 36 26%
Student > Bachelor 17 12%
Student > Master 17 12%
Professor > Associate Professor 6 4%
Other 13 9%
Unknown 15 11%
Readers by discipline Count As %
Computer Science 36 26%
Neuroscience 33 23%
Engineering 18 13%
Agricultural and Biological Sciences 16 11%
Physics and Astronomy 11 8%
Other 8 6%
Unknown 19 13%