Neuroscience and Music Perception

This study investigates how stimulus parameters affect frequency following responses (FFRs) in normal hearing subjects, finding that artificial vowels produce stronger FFRs and that frequency contours influence response strength.

This study investigates whether spatial and temporal dimensions are processed independently using EEG, finding that they are neurally separable but hierarchically organized within the CNV signal.

The paper investigates how cortical and subcortical neurons discriminate sounds in noise, finding that subcortical structures perform better than cortical ones, primarily due to the distortion of slow amplitude modulation cues.

This study shows that mismatch negativity (MMN) predicts pattern separation in memory, linking perceptual discrimination to mnemonic encoding.

The paper shows that local variability in tonotopic maps is not unique to rodents and is influenced by neuron frequency tuning complexity across species.

The paper investigates how humans encode and retain sequence statistics in long-term memory through behavioral experiments and a probabilistic model, showing implicit memory for auditory patterns over weeks.

The paper investigates how rhythmic distractors influence neural encoding and attention in auditory cortex, finding that rhythmic distractors enhance baseline activity and improve behavioral performance.

This study investigates how selective auditory attention affects the auditory steady-state response (ASSR) across the cortex using MEG, finding attention enhances ASSR power in multiple brain regions.

The paper identifies a neural circuit in rats that processes a natural auditory alarm cue by detecting the cessation of movement-evoked sound.

This study shows that high gamma power in EEG can improve speech decoding and attention tracking when combined with low-frequency EEG signals in some subjects.

The paper investigates how negative emotional faces affect time perception and decision-making by analyzing EEG data during a temporal bisection task with emotional stimuli.

The paper examines how focal attention affects cortical speech tracking and shows that focusing attention improves the measurement of neural speech processing.

The paper shows that the human striate cortex represents sound envelopes, demonstrating that V1 is a genuine locus for this representation.

This study shows that strong non-spatial cues like pitch can reduce the need for sustained spatial attention in auditory tasks.

The paper demonstrates stream segregation in auditory cortex by showing enhanced neural responses to repeating foreground stimuli compared to background noise in ferrets.

The paper investigates neural responses to melodic surprise in musicians and non-musicians using IDyOM and MEG, finding that sensory adaptation, not probabilistic prediction, drives the N1m component, while later components reflect auditory regularities and expectations.

The paper identifies a duration-selective cortico-cerebellar network and its topographic connectivity structure, showing the cerebellum as a hub and the medial premotor cortex as the final stage of duration recognition.

This study investigates how dopamine modulates prediction error signaling in the rat nonlemniscal inferior colliculus, showing it reduces responsiveness to unexpected auditory input.

This study investigates the role of insular and supra-temporal auditory areas in humans using intracranial recordings and stimulation, finding that while insula has similar auditory responses, it does not directly contribute to auditory perception.

The paper shows motor-evoked responses in auditory cortex during self-generated sounds correlate with improved sound detection.

The paper investigates how selective attention affects neural encoding and choice-related activity in auditory cortex during a feature-based attention task in rhesus macaques.

The paper analyzes intracranial data from 96 epilepsy patients to reveal a two-timescale processing mode in human auditory cortex, with hemispheric differences emerging beyond primary regions.

The paper investigates binaural summation of amplitude-modulated tones using psychophysical and EEG data, finding weaker interaural suppression compared to visual signal combination.

This study shows that cortical responses to music encode melodic expectations, with neural signals better predicted by combining acoustic and melodic features than either alone.

The paper shows that short-term depression in single neurons explains monotonic rate codes in auditory cortex for repeated stimuli.

The paper uses fMRI and multivariate pattern analysis to show that acoustic features are represented independently in primary auditory cortex and integrated in parietal cortex.

The paper identifies syllable-selective neuronal ensembles in marmoset primary auditory cortex that respond to specific vocalizations, showing sensitivity to global sound properties and sequence structure.

The paper examines how the brain represents musical pitch structure over time using MEG data and multivariate pattern analysis, finding that cortical representations evolve from reflecting pitch values to reflecting tonal stability.

The paper investigates rate-place coding of harmonic and inharmonic complex tones in rabbit auditory midbrain, showing robustness to sound levels and insensitivity to harmonic relationships.