David Poeppel

This study reveals that auditory object formation is governed by two principles: statistical regularity extraction and a fixed integration window, using a repetition-coherence framework.

The paper examines how vocalization affects fast- and broad-spiking neurons in the auditory cortex of bats, revealing cell-type specific modulatory effects.

The paper shows that theta-gamma rhythms in human auditory cortex reflect speech acoustics, with distinct neural populations processing different speech timescales.

This study proposes and tests the Hierarchical Dynamic Coding (HDC) hypothesis, showing how the brain maintains and updates a language hierarchy during speech comprehension.

The paper shows that participants synchronize motor responses to sound stimuli with sharp amplitude onsets more consistently than gradual ones, but extract modulation rates equally well from both.

The paper shows that individual resting-state theta rhythms in auditory cortex predict speech tracking during comprehension, with motor areas influencing this effect based on auditory-motor synchronization.

The paper shows that neural activity in human cortex encodes event probability density rather than hazard rate during temporal anticipation.

This study uses fMRI to show that highly liked and disliked music activate a shared neural network related to emotional processing, with individual differences in responsiveness influencing engagement.

The paper investigates neural mechanisms for musical phrase segmentation and prediction, identifying a low-frequency component and phase precession that support structural processing of music.

The paper investigates how negation affects neural representations of adjectives using behavioral and MEG data, finding that negation suppresses rather than inverts meaning.

The paper investigates reactive inhibitory control preceding stuttered speech using MEG, finding increased beta power in R-preSMA associated with stuttering severity and trial outcomes.

The paper investigates how individual differences in auditory-motor coupling and speech motor production rates influence speech comprehension at varying speech rates.

The paper investigates how the brain resolves lexical ambiguity in speech using context, showing top-down processing dominates over bottom-up cues in early neural responses.

The paper investigates how lexical and syllable processing interact in speech comprehension using MEG data, showing distinct neural networks for each and their interaction in temporal regions.

The paper investigates whether neural responses at sentence constituent frequencies reflect prosodic or syntactic processing, finding that both overt and covert prosody influence these responses.

This study uses MEG and neural decoding to investigate speech imagery, revealing stages of processing and internal feedback loops in speech planning and production.

The paper shows that eye movement sampling rates during reading align with speech production rates across languages, with variations linked to writing system complexity.

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.

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 auditory temporal processing and auditory-motor interactions, finding that optimal performance occurs in the theta range and that auditory-motor coupling extends this range.

The paper shows that phrasal chunking in speech perception is correlated with acoustic-driven delta oscillations in specific brain regions.

The paper decodes imagined speech using low- and cross-frequency neural features from electrocorticography data, showing their effectiveness in perceptual speech spaces.

This paper uses crowdsourced EEG data from face-to-face interactions to show that brain synchrony correlates with empathy, social closeness, and engagement during naturalistic social behavior.

The paper investigates how noise and linguistic knowledge affect bilingual speech comprehension, finding that noise impairs neural tracking of speech structure in second languages.

The paper identifies individual differences in neural substrates for statistical word form learning using fMRI and shows that a fronto-parietal network selectively enhances performance.

The paper investigates whether neural rhythms reflect internal syntactic processes by analyzing EEG and behavioral data from participants listening to grammatical and ungrammatical sentences.

The human brain represents speech phoneme sequences through dynamic coding that tracks content and elapsed processing time, revealing how it combines phonemes to access the mental lexicon.

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.

This paper investigates how perceptual systems model event probability density and temporal uncertainty across sensory modalities, finding that reciprocal PDFs, not hazard rates, underlie these processes.

The paper investigates how the human auditory system encodes acoustic dynamics across different timescales using theta and gamma bands, finding that both bands encode information across all timescales with comparable capacity.