Neuroscience and Music Perception

The paper investigates functional heterogeneity in voice-encoding cortex using electrophysiological and clinical stimulation mapping in patients with sEEG, finding overlapping roles in voice encoding and language.

This study uses fMRI and IC lesions in rats to show that subcortical auditory push-pull interactions depend on intercollicular integrity and occur primarily at the inferior colliculus level.

This study uses MEG to investigate hierarchical brain mechanisms during auditory memory recognition and predictive coding, showing feedforward and backward connections and distinct power dynamics in different brain regions.

This study shows that hierarchical music syntax models predict theta power in brain regions associated with language and reward during music listening.

The paper shows that frontotemporal connectivity changes during a figure-ground reversal in multivoiced music, indicating bidirectional neural processes.

The paper investigates whether neural responses to omitted sounds in tone sequences depend on the predictability of omissions, finding that frequency-specific activity occurs independently of omission predictability.

This study identifies a developmental change in neonatal emotional perception at 37 weeks gestational age, showing heightened discrimination of emotional vocal prosody.

The paper investigates MMN subcomponents by analyzing EEG data from an auditory oddball paradigm, finding two distinct subcomponents linked to local and global sequence regularities.

This study compares a Bayesian model's predictions of dynamic sound localisation with human performance, showing agreement and insights into how acoustic and sensorimotor information are integrated.

This study uses fNIRS to compare neural activity during musical and verbal short-term memory tasks, finding involvement of the dlPFC and IFG with load-dependent differences in activity patterns.

This study examines time-varying neural engagement during music listening using EEG inter-subject correlations, finding significant correlations during musical tension but not at climactic peaks.

This paper uses gradient-boosted models to analyze ferret auditory discrimination behavior, revealing subtle effects of pitch shifts on performance and identifying predictors of false alarms.

The paper investigates how auditory midbrain and thalamus neurons adapt to sound perception under different contexts and training, showing rapid and slow improvements in sensitivity.

This study shows that cerebellar activity related to temporal expectations affects detection performance of at-threshold stimuli in a sequence-dependent manner.

The paper introduces a new paradigm to measure perceived time and metacognitive judgments, and applies a model to analyze variability across different intervals and stimulus modalities.

The paper investigates how neurons in the non-lemniscal shell region of the inferior colliculus encode amplitude modulation in mice, showing that population coding, not individual neuron selectivity, accurately represents sound cues for speech perception.

This paper shows deep learning models can spontaneously detect algebraic structures in sounds through self-supervised learning, with performance depending on exposure to natural sounds and pretraining on music or environmental sounds.

The paper introduces a mobile version of the BAASTA battery for assessing timing and rhythm abilities, providing adult norms and a new composite score with high test-retest reliability.

This study shows that human beat matching involves an entrainment oscillator mechanism in the SMA, supported by EEG and tACS experiments.

The paper investigates how neural dynamics in the dorsal auditory pathway relate to the experience of groove during music listening and shows that motor engagement reflects predictive timing.

The paper investigates how humans process auditory sequences with network structures using MEG, finding rapid encoding of network structure and a long-horizon associative learning mechanism.

The paper investigates how auditory cortex neurons decode target sounds in fluctuating noise, finding that temporal coding becomes more important at lower signal-to-noise ratios.

The paper investigates how the brain and heart respond to auditory and cardio-audio regularities during wakefulness and sleep, finding that unexpected sound omissions elicit cardiac and neural surprise responses.

The paper identifies two voice patches in the marmoset auditory cortex using wide-field calcium imaging that selectively respond to marmoset vocalizations.

The paper shows that timbral manipulations can reshape harmonic consonance preferences and influence the evolution of musical scales through large-scale behavioral experiments and computational modeling.

This study investigates how different dimensions of melody are encoded in the human auditory cortex, finding both music-specific and domain-general representations.

This study uses MEG to show that the brain simultaneously tracks auditory pattern predictability through sustained responses and reduces phasic responses to predictable tones.

The paper shows human speech recognition in natural noise relies on mid-level auditory statistics, with a model predicting perceptual variance better than cochlear models.

The paper identifies a cortical locus for expectation and error signals in auditory cortex during motor-sensory learning and shows these signals can be induced experimentally.

This study shows that musical tempo decreases with age in top artists, reflecting neurobiological slowdown in motor control.