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Computational modeling of the neural representation of object shape in the primate ventral visual system

Overview of attention for article published in Frontiers in Computational Neuroscience, August 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Computational modeling of the neural representation of object shape in the primate ventral visual system
Published in
Frontiers in Computational Neuroscience, August 2015
DOI 10.3389/fncom.2015.00100
Pubmed ID
Authors

Akihiro Eguchi, Bedeho M. W. Mender, Benjamin D. Evans, Glyn W. Humphreys, Simon M. Stringer

Abstract

Neurons in successive stages of the primate ventral visual pathway encode the spatial structure of visual objects. In this paper, we investigate through computer simulation how these cell firing properties may develop through unsupervised visually-guided learning. Individual neurons in the model are shown to exploit statistical regularity and temporal continuity of the visual inputs during training to learn firing properties that are similar to neurons in V4 and TEO. Neurons in V4 encode the conformation of boundary contour elements at a particular position within an object regardless of the location of the object on the retina, while neurons in TEO integrate information from multiple boundary contour elements. This representation goes beyond mere object recognition, in which neurons simply respond to the presence of a whole object, but provides an essential foundation from which the brain is subsequently able to recognize the whole object.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Netherlands 1 2%
United States 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 9 17%
Student > Master 8 15%
Student > Bachelor 7 13%
Other 3 6%
Other 6 11%
Unknown 8 15%
Readers by discipline Count As %
Neuroscience 16 30%
Agricultural and Biological Sciences 8 15%
Engineering 5 9%
Psychology 5 9%
Computer Science 3 6%
Other 8 15%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 August 2015.
All research outputs
#14,665,020
of 25,578,098 outputs
Outputs from Frontiers in Computational Neuroscience
#518
of 1,471 outputs
Outputs of similar age
#126,187
of 276,323 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#11
of 38 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,471 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 63% 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 276,323 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 54% of its contemporaries.
We're also able to compare this research output to 38 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 73% of its contemporaries.