Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns
Nicolas Barascud1, Marcus T Pearce2, Timothy D Griffiths3
1Ear Institute, University College London, London WC1X 8EE, United Kingdom; Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom; n.barascud@ucl.ac.uk m.chait@ucl.ac.uk.
Summary
Human listeners excel at detecting complex temporal patterns in sound sequences, matching ideal observer performance. Brain activity reveals evidence accumulation and predictive coding in auditory processing.
Area of Science:
- Neuroscience
- Auditory Perception
- Cognitive Science
Background:
- Auditory signals gain meaning over time, necessitating pattern detection.
- The brain's tuning to sensory statistics is known, but the underlying mechanisms are unclear.
Purpose of the Study:
- To investigate how human listeners identify temporal patterns and statistical regularities in complex auditory sequences.
- To explore the neural processes involved in discovering auditory regularities.
Main Methods:
- Behavioral experiments
- Magnetoencephalography (MEG)
- Functional Magnetic Resonance Imaging (fMRI)
Main Results:
- Listeners demonstrated high sensitivity to complex patterns in sound, performing comparably to an ideal observer.
- Brain responses showed evidence accumulation and tonic activity changes correlating with auditory input predictability.
- Source analysis identified interactions between auditory cortex, hippocampus, and inferior frontal gyrus.
Conclusions:
- The findings support precision-based predictive coding models of perceptual inference.
- This study provides neurophysiological evidence for the brain's ability to encode high-order temporal structure in sensory information.
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