| Title |
Reinforcement Learning on Slow Features of High-Dimensional Input Streams
|
|---|---|
| Published in |
PLoS Computational Biology, August 2010
|
| DOI | 10.1371/journal.pcbi.1000894 |
| Pubmed ID | |
| Authors |
Robert Legenstein, Niko Wilbert, Laurenz Wiskott |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| Japan | 3 | 2% |
| United States | 3 | 2% |
| France | 2 | 1% |
| Germany | 2 | 1% |
| Finland | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 134 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 27% |
| Researcher | 36 | 23% |
| Student > Master | 33 | 21% |
| Student > Postgraduate | 7 | 4% |
| Student > Doctoral Student | 6 | 4% |
| Other | 16 | 10% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 42% |
| Agricultural and Biological Sciences | 22 | 14% |
| Engineering | 19 | 12% |
| Psychology | 8 | 5% |
| Neuroscience | 8 | 5% |
| Other | 15 | 10% |
| Unknown | 19 | 12% |