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Abstract

Statistical structures and our ability to exploit them are a ubiquitous component of daily life. Yet, we still do not fully understand how we track these sophisticated statistics and the role they play in sensory processing. Predictive coding frameworks hypothesise that for stimuli that can be accurately anticipated based on prior experience, we rely more strongly on our internal model of the sensory world and are more "surprised" when that expectation is unmet. The current study used this phenomenon to probe listeners' sensitivity to probabilistic structures generated using rapid 50 milli-second tone-pip sequences that precluded conscious prediction of upcoming stimuli. Over three experiments we measured listeners' sensitivity and response time to deviants of a frequency outside the expected range. Predictable sequences were generated using either a triplet-based or community structure and deviance detection contrasted against the same set of tones but in a random, unpredictable order. All experiments found structured sequences enhanced deviant detection relative to random sequences. Additionally, Experiment 2 used three different instantiations of the community structure to demonstrate that the level of uncertainty in the structured sequences modulated deviant saliency. Finally, Experiment 3 placed the deviant within an established community or immediately after a transition between communities, where the perceptual boundary should generate momentary uncertainty. However, this manipulation did not impact performance. Together these results demonstrate that probabilistic contexts generated from statistical structures modulate the processing of an ongoing auditory signal, leading to an improved ability to detect unexpected deviant stimuli, consistent with the predictive coding framework.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* Updates have been made based on reviewer comments. Primarily we have added additional discussion regarding potential auditory streaming effects, corrected an error and improved readability on the methods figure for experiment 2.

Details

1009240
Title
Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2025
Publication date
Feb 13, 2025
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Source
BioRxiv
Place of publication
Cold Spring Harbor
Country of publication
United States
University/institution
Cold Spring Harbor Laboratory Press
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Milestone dates
2024-04-23 (Version 1); 2024-05-07 (Version 2)
ProQuest document ID
3166352029
Document URL
https://www.proquest.com/working-papers/probing-sensitivity-statistical-structure-rapid/docview/3166352029/se-2?accountid=208611
Copyright
© 2025. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-14
Database
ProQuest One Academic