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Pupillometry to Assess Auditory Sensation in Guinea Pigs
Published on: January 6, 2023
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Violation of auditory regularities is reflected in pupil dynamics
Hamit Basgol1, Peter Dayan2, Volker H Franz3
1Department of Computer Science, University of Tübingen, Tübingen, Germany; Experimental Cognitive Science, University of Tübingen, Tübingen, Germany; The Graduate Training Centre of Neuroscience, University of Tübingen, Tübingen, Germany.
Summary
The brain updates internal models when predictions fail, triggering pupil dilation responses (PDRs). These responses, linked to locus coeruleus-norepinephrine (LC-NE) activity, signal prediction violations and model resets during auditory pattern changes.
Area of Science:
- Neuroscience
- Cognitive Science
- Auditory Perception
Background:
- The brain constructs internal predictive models.
- Prediction violations can lead to model updates or replacements.
- Pupil dilation responses (PDRs) are linked to locus coeruleus-norepinephrine (LC-NE) activity and signal significant prediction errors.
Purpose of the Study:
- To investigate PDRs during transitions between regular and random auditory patterns.
- To explore how PDRs reflect internal model updates or resets.
- To examine PDRs as biomarkers for prediction violation magnitude.
Main Methods:
- Participants listened to auditory sequences with regular and random tone patterns.
- Participants were instructed to maintain attention by finding gaps.
- Pupil dilation responses (PDRs) were recorded and analyzed in relation to pattern transitions.
Main Results:
- Transitions from regular to random patterns induced PDRs, indicating model resets.
- Transitions between regular patterns also induced PDRs, suggesting model resets.
- Transitions from random to regular patterns did not induce PDRs, suggesting gradual model updates.
- PDRs and pupil event rates correlated with information content changes in auditory sequences.
Conclusions:
- PDRs serve as biomarkers for LC-NE activation, reflecting prediction violation extent.
- Auditory sequence transitions differentially impact internal models, signaled by PDRs.
- PDRs provide insights into neural mechanisms of predictive coding and model updating.
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