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Distinguishing Neural Adaptation and Predictive Coding Hypotheses in Auditory Change Detection

Overview of attention for article published in Brain Topography, October 2016
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Title
Distinguishing Neural Adaptation and Predictive Coding Hypotheses in Auditory Change Detection
Published in
Brain Topography, October 2016
DOI 10.1007/s10548-016-0529-8
Pubmed ID
Authors

Renée M. Symonds, Wei Wei Lee, Adam Kohn, Odelia Schwartz, Sarah Witkowski, Elyse S. Sussman

Abstract

The auditory mismatch negativity (MMN) component of event-related potentials (ERPs) has served as a neural index of auditory change detection. MMN is elicited by presentation of infrequent (deviant) sounds randomly interspersed among frequent (standard) sounds. Deviants elicit a larger negative deflection in the ERP waveform compared to the standard. There is considerable debate as to whether the neural mechanism of this change detection response is due to release from neural adaptation (neural adaptation hypothesis) or from a prediction error signal (predictive coding hypothesis). Previous studies have not been able to distinguish between these explanations because paradigms typically confound the two. The current study disambiguated effects of stimulus-specific adaptation from expectation violation using a unique stimulus design that compared expectation violation responses that did and did not involve stimulus change. The expectation violation response without the stimulus change differed in timing, scalp distribution, and attentional modulation from the more typical MMN response. There is insufficient evidence from the current study to suggest that the negative deflection elicited by the expectation violation alone includes the MMN. Thus, we offer a novel hypothesis that the expectation violation response reflects a fundamentally different neural substrate than that attributed to the canonical MMN.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 14 19%
Student > Master 11 15%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Other 6 8%
Unknown 18 24%
Readers by discipline Count As %
Neuroscience 27 36%
Psychology 9 12%
Agricultural and Biological Sciences 5 7%
Linguistics 4 5%
Nursing and Health Professions 2 3%
Other 6 8%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 October 2016.
All research outputs
#14,864,294
of 22,893,031 outputs
Outputs from Brain Topography
#283
of 484 outputs
Outputs of similar age
#189,286
of 315,552 outputs
Outputs of similar age from Brain Topography
#8
of 12 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 484 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 38th percentile – i.e., 38% 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 315,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.