↓ Skip to main content

On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2014
Altmetric Badge

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing
Published in
Frontiers in Computational Neuroscience, June 2014
DOI 10.3389/fncom.2014.00059
Pubmed ID
Authors

Pavel A. Puzerey, Roberto F. Galán

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
Netherlands 2 3%
United Kingdom 1 2%
Japan 1 2%
Poland 1 2%
Unknown 55 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 29%
Researcher 14 22%
Student > Master 9 14%
Professor > Associate Professor 6 10%
Student > Bachelor 4 6%
Other 8 13%
Unknown 4 6%
Readers by discipline Count As %
Neuroscience 16 25%
Agricultural and Biological Sciences 15 24%
Computer Science 7 11%
Engineering 6 10%
Physics and Astronomy 5 8%
Other 7 11%
Unknown 7 11%