| Title |
Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs
|
|---|---|
| Published in |
PLoS Computational Biology, July 2013
|
| DOI | 10.1371/journal.pcbi.1003143 |
| Pubmed ID | |
| Authors |
James M. McFarland, Yuwei Cui, Daniel A. Butts |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 4% |
| United Kingdom | 3 | 1% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| Austria | 1 | <1% |
| Belarus | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 197 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 29% |
| Researcher | 56 | 26% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 15 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 24 | 11% |
| Unknown | 23 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 61 | 28% |
| Agricultural and Biological Sciences | 51 | 24% |
| Engineering | 23 | 11% |
| Computer Science | 12 | 6% |
| Physics and Astronomy | 10 | 5% |
| Other | 30 | 14% |
| Unknown | 30 | 14% |