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A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

Overview of attention for article published in PLoS Computational Biology, October 2008
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Citations

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7 CiteULike
Title
A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
Published in
PLoS Computational Biology, October 2008
DOI 10.1371/journal.pcbi.1000180
Pubmed ID
Authors

Robert Legenstein, Dejan Pecevski, Wolfgang Maass

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 441 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 13 3%
Germany 11 2%
United States 9 2%
Switzerland 8 2%
Japan 6 1%
France 5 1%
Netherlands 2 <1%
Russia 2 <1%
Sweden 1 <1%
Other 10 2%
Unknown 374 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 137 31%
Researcher 85 19%
Student > Master 50 11%
Student > Bachelor 43 10%
Professor 20 5%
Other 62 14%
Unknown 44 10%
Readers by discipline Count As %
Computer Science 114 26%
Agricultural and Biological Sciences 85 19%
Neuroscience 47 11%
Engineering 44 10%
Psychology 30 7%
Other 69 16%
Unknown 52 12%