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Mendeley readers
| 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 |
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 | 38 | 27% |
| Researcher | 36 | 26% |
| Student > Bachelor | 17 | 12% |
| Student > Master | 17 | 12% |
| Professor > Associate Professor | 6 | 4% |
| Other | 12 | 9% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 26% |
| Neuroscience | 33 | 23% |
| Engineering | 18 | 13% |
| Agricultural and Biological Sciences | 16 | 11% |
| Physics and Astronomy | 11 | 8% |
| Other | 7 | 5% |
| Unknown | 19 | 13% |