↓ Skip to main content

Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
40 X users
wikipedia
2 Wikipedia pages
reddit
1 Redditor

Readers on

mendeley
380 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2016
DOI 10.1073/pnas.1508523113
Pubmed ID
Authors
Abstract

We use behavioral methods, magnetoencephalography, and functional MRI to investigate how human listeners discover temporal patterns and statistical regularities in complex sound sequences. Sensitivity to patterns is fundamental to sensory processing, in particular in the auditory system, because most auditory signals only have meaning as successions over time. Previous evidence suggests that the brain is tuned to the statistics of sensory stimulation. However, the process through which this arises has been elusive. We demonstrate that listeners are remarkably sensitive to the emergence of complex patterns within rapidly evolving sound sequences, performing on par with an ideal observer model. Brain responses reveal online processes of evidence accumulation-dynamic changes in tonic activity precisely correlate with the expected precision or predictability of ongoing auditory input-both in terms of deterministic (first-order) structure and the entropy of random sequences. Source analysis demonstrates an interaction between primary auditory cortex, hippocampus, and inferior frontal gyrus in the process of discovering the regularity within the ongoing sound sequence. The results are consistent with precision based predictive coding accounts of perceptual inference and provide compelling neurophysiological evidence of the brain's capacity to encode high-order temporal structure in sensory signals.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 1%
Germany 2 <1%
Sweden 1 <1%
Russia 1 <1%
Luxembourg 1 <1%
United Kingdom 1 <1%
France 1 <1%
China 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 365 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 92 24%
Researcher 85 22%
Student > Master 36 9%
Student > Bachelor 25 7%
Professor 18 5%
Other 61 16%
Unknown 63 17%
Readers by discipline
Readers by discipline Count As %
Neuroscience 99 26%
Psychology 88 23%
Agricultural and Biological Sciences 43 11%
Medicine and Dentistry 10 3%
Engineering 9 2%
Other 37 10%
Unknown 94 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 2025.
All research outputs
#1,822,187
of 34,242,763 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#23,275
of 118,633 outputs
Outputs of similar age
#25,039
of 449,180 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#342
of 841 outputs
Altmetric has tracked 34,242,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118,633 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one has done well, scoring higher than 80% 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 449,180 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 94% of its contemporaries.
We're also able to compare this research output to 841 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 59% of its contemporaries.