Neuroscience and Music Perception

The paper shows the human brain rapidly distinguishes AI voices from human voices before decoding prosody, using EEG and acoustic analysis.

The paper investigates how brain networks predict and evaluate auditory events by analyzing EEG data during a task with varying predictability, finding distinct connectivity patterns for prediction and evaluation phases.

The paper analyzes how amplitude-modulation encoding varies across cortical layers and hemispheres in nonhuman primates, finding differences in frequency ranges and laminar gradients between primary and tertiary auditory areas.

This study examines how reverberation and interruptions affect selective attention by measuring syllable recall and pupil dilation in a spatial attention task.

This study shows that sub-anesthetic ketamine reduces deviant detection responses in auditory cortex and posterior parietal cortex, affecting cellular, population, and mesoscale levels.

The paper investigates how inhibitory neurons in the mouse auditory cortex modulate context-dependent deviance responses to sound patterns, revealing a specific role for VIP neurons in enhancing deviance detection in regular contexts.

This paper analyzes motor timing in piano performance to show a shared low-frequency oscillatory pattern across different musical styles.

The paper investigates how auditory attention affects neural oscillation phase alignment using EEG and identifies two distinct entrained networks with attention-dependent dynamics.

This study investigates how the VTA represents auditory stimuli in awake, freely moving mice and finds that VTA responses are robust but less temporally reproducible compared to the inferior colliculus.

This study uses an artificial neural network with optimized feature gains to model human selective listening, showing it matches human performance and predicts attentional effects.

This study shows that trust in a speaker affects cortical speech tracking, with lower trust leading to stronger neural tracking of speech.

The paper shows that human auditory cortex preferentially tracks speech over music in children and adolescents without explicit attention, with speech-bias strengthening in the superior temporal gyrus with age.

This review systematically examines EEG markers of auditory rise time processing, finding that prolonged rise time decreases ERP component amplitudes and increases latencies, with varying sensitivity across components and experimental conditions.

The paper introduces an Adaptive Gain model that improves prediction of human cortical EEG responses to continuous speech by normalizing sound level based on recent context, outperforming standard envelope-based methods.

This study investigates how inharmonicity affects mismatch responses in auditory perception, finding non-linear relationships between inharmonicity levels and MMN/P3a amplitudes.

The paper shows that reverberation increases the negative impact of interruptions on auditory spatial selective attention by worsening recall of syllables following interruptions.

The paper shows prior expectations influence perceived aversiveness of sounds, with neural correlates in P3/LPP components and alpha-beta oscillations.

The paper records single-neuron activity in nonhuman primates to show frontopolar cortex encodes abstract representations of sounds and generates decision-making signals.

The paper develops a linear-nonlinear subspace model that captures the encoding properties of convolutional neural networks in auditory cortex, showing they functionally match CNNs and reveal cell-type and layer-specific encoding differences.

This study examines the maturation of neural and behavioral correlates of stream segregation and their relationship with speech perception in noise from childhood to adulthood.

This study examines how deep neural networks model 'what' and 'where' in sound localization, finding that 'what' manifolds are geometrically organized and influence 'where' map formation, with implications for understanding brain function.

This study shows humans can detect rising and falling pitch using positive and negative spectrotemporal intensity correlations, analogous to visual motion detection.

This study shows newborns can track rhythmic statistical regularities in music but not melodic information, suggesting rhythm develops earlier than melody.

The paper investigates how emotional content and misophonia sensitivity affect auditory cortex responses to concurrent sounds using ASSR and other measures.

This study investigates how flexible action-sound predictions are in changing environments, showing that predictions adapt at different cortical levels, with unexpected sounds eliciting consistent responses regardless of expectation.

The paper investigates differences in neurophysiological responses to sound onsets and offsets in humans using EEG, finding distinct ERP morphologies and amplitudes for onset and offset cues.

The paper shows humans can infer physical properties from impact sounds but struggle when object resonance distributions differ from real-world data.

This study shows that RGFP966 enhances auditory learning and improves signal detection in noise by modulating cortical plasticity and noise suppression.