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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Perceptual Dominance in Brief Presentations of Mixed Images: Human Perception vs. Deep Neural Networks
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, July 2018
|
| DOI | 10.3389/fncom.2018.00057 |
| Pubmed ID | |
| Authors |
Liron Z. Gruber, Aia Haruvi, Ronen Basri, Michal Irani |
| Abstract |
Visual perception involves continuously choosing the most prominent inputs while suppressing others. Neuroscientists induce visual competitions in various ways to study why and how the brain makes choices of what to perceive. Recently deep neural networks (DNNs) have been used as models of the ventral stream of the visual system, due to similarities in both accuracy and hierarchy of feature representation. In this study we created non-dynamic visual competitions for humans by briefly presenting mixtures of two images. We then tested feed-forward DNNs with similar mixtures and examined their behavior. We found that both humans and DNNs tend to perceive only one image when presented with a mixture of two. We revealed image parameters which predict this perceptual dominance and compared their predictability for the two visual systems. Our findings can be used to both improve DNNs as models, as well as potentially improve their performance by imitating biological behaviors. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 14% |
| Switzerland | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Doctoral Student | 3 | 19% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 25% |
| Engineering | 3 | 19% |
| Neuroscience | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 December 2018.
All research outputs
#7,059,130
of 23,094,276 outputs
Outputs from Frontiers in Computational Neuroscience
#374
of 1,358 outputs
Outputs of similar age
#120,841
of 329,800 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#11
of 30 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 71% 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 329,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.