↓ Skip to main content

Distributed representation of perceptual categories in the auditory cortex

Overview of attention for article published in Journal of Computational Neuroscience, October 2007
Altmetric Badge

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
4 CiteULike
Title
Distributed representation of perceptual categories in the auditory cortex
Published in
Journal of Computational Neuroscience, October 2007
DOI 10.1007/s10827-007-0055-5
Pubmed ID
Authors

Heesoo Kim, Shaowen Bao

Abstract

Categorical perception is a process by which a continuous stimulus space is partitioned to represent discrete sensory events. Early experience has been shown to shape categorical perception and enlarge cortical representations of experienced stimuli in the sensory cortex. The present study examines the hypothesis that enlargement in cortical stimulus representations is a mechanism of categorical perception. Perceptual discrimination and identification behaviors were analyzed in model auditory cortices that incorporated sound exposure-induced plasticity effects. The model auditory cortex with over-representations of specific stimuli exhibited categorical perception behaviors for those specific stimuli. These results indicate that enlarged stimulus representations in the sensory cortex may be a mechanism for categorical perceptual learning.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Germany 1 2%
Brazil 1 2%
Switzerland 1 2%
Spain 1 2%
United Kingdom 1 2%
Unknown 47 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 29%
Researcher 12 21%
Professor > Associate Professor 8 14%
Student > Bachelor 7 13%
Other 3 5%
Other 6 11%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 34%
Psychology 14 25%
Neuroscience 6 11%
Medicine and Dentistry 3 5%
Computer Science 3 5%
Other 5 9%
Unknown 6 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 November 2008.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from Journal of Computational Neuroscience
#168
of 306 outputs
Outputs of similar age
#61,299
of 71,762 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 1 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 71,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them