Neuroscience and Music Perception

This study shows that auditory cortical gradients are organized by both spectral content and pitch, with primary regions tuned to spectral content and higher-level pitch tuning in surrounding areas.

This study shows human brainstem response latency adapts to sound-level context over tens of milliseconds, with sensitivity decreasing as integration time widens.

This study compares neural representations of natural sounds in human and ferret auditory cortex, finding divergent processing at higher cortical stages for speech and music.

This study examines physiological synchrony among concert attendees using inter-subject correlation, finding that tempo predicts synchrony in classical and romantic music but not contemporary styles.

This study reveals a hierarchical progression of category selectivity in sound processing by analyzing spatiotemporal dynamics using MEG and fMRI.

The paper shows that reduced temporal signal clarity increases repetition-enhancement in MGB units, which is blocked by corticothalamic inactivation, suggesting cortical inputs enhance weak signal coding.

The paper shows that adding across-channel temporal-coherence processing improves predictions of consonant confusions in speech categorization, suggesting its role in speech understanding in noise.

The paper investigates if emotional content in music is processed similarly to affective prosody in speech by analyzing ERP components and brain regions involved.

The paper investigates how preceding masking noise affects monaural and binaural release from masking using comodulated masking release and binaural masking level difference cues.

This paper introduces spectral graph features to characterize Heschl's Gyrus morphology, showing their superiority in distinguishing HG subtypes compared to conventional measures.

A deep neural network trained for natural sound detection spontaneously develops music-selective units without explicit music training.

The paper uses ALE meta-analysis to compare brain regions involved in music perception, production, and imagery, finding distinct neural networks for bottom-up and top-down processing.

The paper tests whether speaking tonal languages improves musical melody discrimination but impairs beat processing, using data from over 493,000 speakers across 54 languages.

The paper investigates how the relative timing and position of sequential events affect time perception, finding that shorter first events cause distortions, which are mitigated by longer intervals only when the constant event is first.

This study investigates how music with specific acoustic properties affects attention in individuals with attentional difficulties, finding that amplitude-modulated music improves sustained attention.

The paper uses fMRI to identify striatal subregions involved in different stages of beat perception, finding dorsal putamen for beat finding and ventral putamen for beat adjustment.

The paper identifies the neural network reset time for sub-second interval timing using adaptive psychophysics, finding it ranges between 250-333ms.

This study examines how EEG activity during a temporal or color discrimination task relates to task goals, finding that task-relevant information is encoded during the second stimulus presentation.

The paper investigates how predictive processes in the brain respond to high uncertainty in musical contexts using MMN and behavioral experiments, finding robust MMN responses in atonal music but better behavioral performance in tonal contexts.

The paper investigates temporo-cerebellar connectivity's role in encoding spectro-temporal auditory properties and proactive adaptation through lesion studies and tractography.

The paper investigates how neural dynamics differ based on auditory category structures during learning, showing distinct spatiotemporal patterns for rule-based and information-integration tasks.

This study shows that older adults have reduced sustained neural activity in auditory cortex when processing sound patterns, compared to younger adults, which may explain age-related hearing difficulties.

The paper compares neural tracking of speech and music envelopes using EEG, finding better speech reconstruction across frequencies and unique low-frequency speech tracking in parietal channels.

The paper investigates how neural oscillations track natural versus artificial fast speech using MEG, finding that natural fast speech elicits stronger cortico-acoustic coupling than artificially accelerated speech.

The paper uses deconvolution to show that linear superposition of F0 responses explains over 80% of the variance in FFRs to human speech in macaques.

The paper investigates how dimensional salience and selective attention affect cortical tracking of acoustic dimensions using EEG measurements.

The paper investigates how neural envelope coding of speech is influenced by background sounds and acoustic features, showing that modulation masking and fine structure shape speech intelligibility across listening conditions.

This study investigates how the brain processes syntactic irregularity and perceptual ambiguity in musical chord sequences using MEG, finding dissociated connectivity patterns in IFG and STG regions.

The paper shows that musicianship and melodic predictability increase neural gain in auditory cortex during pitch deviance detection, as revealed by dynamic causal modeling of MEG data.

The paper introduces a network model of attention in auditory cortex that explains suppressive attentional effects and their role in solving the cocktail party problem.