Neuroscience and Music Perception

This study shows that music predictability and liking increase pupil dilation and improve motor learning in non-musicians, with liking having a stronger effect on learning than predictability.

The paper demonstrates that the brain extrapolates statistical properties of interrupted background sounds over several seconds, creating illusory textures that are perceived as real.

The paper uses EEG and pupillometry to show that familiar music elicits faster pupil dilation and different EEG responses compared to unfamiliar music within the first 350 ms after stimulus onset.

The paper develops a model of spectral adaptation in auditory cortex that incorporates short-term synaptic plasticity to better predict neural responses to natural sounds than standard models.

This study investigates how neural representations and perceptual salience of tones in noise vary with masking release, finding that P2 amplitude correlates with audibility while subjective ratings are inconsistent.

This study compares brain activity during music and speech perception in musicians and non-musicians, finding greater motor and auditory cortex activation during music processing.

The paper investigates how the human auditory system encodes acoustic dynamics across different timescales using theta and gamma bands, finding that both bands encode information across all timescales with comparable capacity.

The paper shows that correlation statistics between frequency-organized auditory channels can be used to identify sound categories with high accuracy, mirroring human performance.

This study uses intracranial EEG to show that specific regions of the human insula are involved in detecting auditory deviants.

This study investigates neural correlates of perceptual switching in auditory streaming using ERPs and identifies sustained activity in auditory cortex associated with both percept content and switches.

The paper investigates alpha oscillations in human non-primary auditory cortex using electrode recordings from epilepsy patients, finding that alpha activity is suppressed during speech processing in a specific region.

The paper investigates how attention and task affect neural tracking of speech using EEG, finding that attention levels significantly impact envelope tracking, especially in the right-frontal region.

The paper investigates how the auditory system adapts to encode correlated acoustic properties more efficiently by analyzing neural responses in ferrets exposed to sounds with co-varying temporal and spectral attributes.

This study investigates how intermodal attention modulates the generators of the Frequency Following Response (FFR) using MEG data, finding that only the right primary auditory cortex is significantly affected by attention.

The paper investigates how impoverished spatial auditory cues affect brain networks involved in spatial selective attention, finding that natural cues better engage these networks than simplified ones.

The paper uses speech-like stimuli to study auditory prediction errors and finds that prediction errors are modulated by preceding syllable structure, not just immediate transitions.

The paper uses imaging techniques to map sound frequency organization in mouse auditory cortex fields, identifying new areas and clarifying tonotopic organization.

The paper shows that implicit temporal contingencies improve pitch discrimination and influence delta oscillation phases in auditory cortex, without rhythmic input.

The paper introduces a data-driven spatial filtering method to improve cortical tracking of speech in EEG by automatically selecting channels and incorporating phonetic features in Dutch.

This study shows that Weber's law arises from bounded evidence accumulation in rats, as evidenced by level-invariant discrimination accuracy and reaction times.

The paper shows that auditory predictions in the human brain carry tonotopically specific information, demonstrated through MEG experiments and classifier analysis.

The paper investigates how attention modulates auditory prediction error signaling at different hierarchical levels, finding that N2 amplitude is modulated by global regularity detection independently of attention, while P3b amplitude depends on attention.

This study shows that differing predictive models between musicians during joint tapping reduce synchronization but allow recovery, with instrument expertise influencing strategies.

The paper tests whether rhythmic processes shape perception of extended soundscapes and finds rhythmic components in perceptual sampling at the delta band time scale.

This study shows that older adults show less distinct neural activation patterns in auditory cortex and lower GABA levels, with GABA levels predicting neural distinctiveness in older adults.

The paper shows that auditory expertise modulates neural categorization mechanisms, with musicians using primary auditory cortex and nonmusicians relying on higher-order linguistic regions.

The paper shows that neurons in primary auditory cortex represent sound source locations independently of spatial cues and supports a labelled line model over a two-channel model for spatial perception.

The paper investigates brain mechanisms for evaluating self-generated timing behavior, supporting the read-out hypothesis over error-detection.

The paper investigates how prediction error responses change in musical contexts with varying pitch uncertainty, finding reduced mismatch negativity in high-uncertainty conditions.

This study uses EEG to show that absolute pitch musicians have higher neural representational similarity during late pitch processing compared to relative pitch musicians.