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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells
|
|---|---|
| Published in |
PLoS Computational Biology, August 2007
|
| DOI | 10.1371/journal.pcbi.0030166 |
| Pubmed ID | |
| Authors |
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott |
| Abstract |
We present a model for the self-organized formation of place cells, head-direction cells, and spatial-view cells in the hippocampal formation based on unsupervised learning on quasi-natural visual stimuli. The model comprises a hierarchy of Slow Feature Analysis (SFA) nodes, which were recently shown to reproduce many properties of complex cells in the early visual system []. The system extracts a distributed grid-like representation of position and orientation, which is transcoded into a localized place-field, head-direction, or view representation, by sparse coding. The type of cells that develops depends solely on the relevant input statistics, i.e., the movement pattern of the simulated animal. The numerical simulations are complemented by a mathematical analysis that allows us to accurately predict the output of the top SFA layer. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Japan | 1 | 17% |
| United States | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 3% |
| Germany | 6 | 1% |
| Switzerland | 5 | 1% |
| United Kingdom | 5 | 1% |
| France | 3 | <1% |
| Spain | 3 | <1% |
| Malaysia | 2 | <1% |
| Norway | 2 | <1% |
| Japan | 2 | <1% |
| Other | 8 | 2% |
| Unknown | 422 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 129 | 27% |
| Researcher | 77 | 16% |
| Student > Master | 76 | 16% |
| Student > Bachelor | 28 | 6% |
| Student > Doctoral Student | 22 | 5% |
| Other | 80 | 17% |
| Unknown | 58 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 16% |
| Agricultural and Biological Sciences | 70 | 15% |
| Engineering | 42 | 9% |
| Social Sciences | 39 | 8% |
| Neuroscience | 39 | 8% |
| Other | 139 | 30% |
| Unknown | 68 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2020.
All research outputs
#1,718,477
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#1,469
of 9,003 outputs
Outputs of similar age
#3,292
of 81,392 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 24 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 81,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.