Neuroscience and Music Perception

The paper uses EEG to show that neural correlates can grade musical expertise by sound production mode, even without motor response or active music production.

This study uses TMS to show that left dorsal premotor cortex (dPMC) causally affects interval and tempo perception but not phase perception.

The paper investigates how structural connectivity of auditory white matter pathways facilitates functional connectivity in auditory prediction error generation within a fronto-temporal network.

The paper examines how neural responses to time-compressed speech vary across auditory brain regions and relates these responses to speech intelligibility.

This study demonstrates that anesthetized mice exhibit a mismatch response to changes in human speech sound duration, suggesting they can detect duration changes in speech sounds.

This study proposes a model of human time perception based on perceptual classification, showing that an artificial neural system can estimate duration by tracking salient activation changes in response to natural scenes.

The paper shows that emotional voice stimuli are initially categorized in the brain and later refined into continuous dimensions.

The paper shows that auditory cortical activity can reconstruct missing speech based on prior knowledge, with performance up to 25% of present speech and faster processing with expertise.

A hierarchical spiking neural network achieves near human-level noise robust word recognition and mirrors properties of the auditory pathway.

This study investigates how the human auditory cortex encodes noisy and reverberant speech using MEG, finding that both distorted and cleaned speech representations are maintained, with theta-band responses likely carrying distortion-free speech information.

This study investigates neurophysiological responses to duration and rhythm prediction violations across visual and auditory modalities, finding common supramodal mechanisms for duration prediction.

This paper applies spectrotemporal response functions (STRFs) to MEG data to model auditory neural responses, showing consistency with animal studies and revealing common auditory processing structures.

The paper investigates how the auditory system represents sound identity in a way that is tolerant to transformations, finding that neural representations are multivariate, multiplexed, and modulated by attention and experience.

The paper uses automated image segmentation to study spatial organization of sound dynamics in mouse auditory cortex, revealing differences in response to sound onset and offset.

The paper develops a Bayesian model for auditory streaming that infers the number of signal sources from sequential auditory cues without restricting the number of sources.

This study investigates how reinforcement signals modulate auditory cortex plasticity through electrophysiological changes during a neuroeconomic task.

The paper investigates rhythmic and pitch perception deficits in schizophrenia and amusia, finding that prosodic processing relies on pitch and pitch-dependent rhythm perception.