| Title |
Independent Component Analysis in Spiking Neurons
|
|---|---|
| Published in |
PLoS Computational Biology, April 2010
|
| DOI | 10.1371/journal.pcbi.1000757 |
| Pubmed ID | |
| Authors |
Cristina Savin, Prashant Joshi, Jochen Triesch |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 12 | 6% |
| United States | 9 | 4% |
| Switzerland | 4 | 2% |
| United Kingdom | 4 | 2% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| Australia | 2 | <1% |
| Finland | 2 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 173 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 33% |
| Researcher | 59 | 27% |
| Student > Master | 20 | 9% |
| Professor | 13 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 28 | 13% |
| Unknown | 12 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 28% |
| Agricultural and Biological Sciences | 40 | 19% |
| Neuroscience | 40 | 19% |
| Engineering | 25 | 12% |
| Physics and Astronomy | 13 | 6% |
| Other | 23 | 11% |
| Unknown | 14 | 6% |