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Higher-Order Correlations in Non-Stationary Parallel Spike Trains: Statistical Modeling and Inference

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2010
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102 Mendeley
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2 CiteULike
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Title
Higher-Order Correlations in Non-Stationary Parallel Spike Trains: Statistical Modeling and Inference
Published in
Frontiers in Computational Neuroscience, January 2010
DOI 10.3389/fncom.2010.00016
Pubmed ID
Authors

Benjamin Staude, Sonja Grün, Stefan Rotter

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 8%
United Kingdom 2 2%
France 2 2%
Turkey 1 <1%
Austria 1 <1%
Switzerland 1 <1%
Russia 1 <1%
Japan 1 <1%
United States 1 <1%
Other 1 <1%
Unknown 83 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 28%
Researcher 27 26%
Student > Master 12 12%
Student > Postgraduate 7 7%
Professor 6 6%
Other 13 13%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 31%
Neuroscience 19 19%
Physics and Astronomy 10 10%
Computer Science 8 8%
Medicine and Dentistry 6 6%
Other 18 18%
Unknown 9 9%