Matthew H. Davis

The paper investigates how neural encoding of speech varies with acoustic degradation and language, finding that flexible encoding strategies predict comprehension of degraded speech.

The paper shows that temporal predictions in vision are linked to motor readouts and content-specific encoding in early visual areas during timing judgments.

The paper shows that neural responses to speech are suppressed by strong predictions when they match input, but enhanced when they mismatch, indicating prediction error computations in auditory regions.

The paper investigates how auditory and visual speech signals are processed in the brain during speech perception, finding differences in phase-locking patterns between auditory and visual regions during audio-visual and silent lip-reading conditions.

This study shows that intelligibility improves the perception of timing changes in speech by linking rhythm perception to the extraction of linguistic units.

This study investigates the causal roles of domain-general and language-selective brain networks in speech comprehension challenges using lesion data and behavioral tasks.

This study uses MEG data to test two Bayesian models of spoken word recognition, finding support for predictive-selection theories over competitive-selection theories.

The paper distinguishes evoked responses from true neural oscillations by showing sustained oscillatory responses after rhythmic stimulation in speech perception.

The paper shows that neural responses to degraded speech show prediction error computations, with signal quality and prior expectations interacting to shape representations within 250 ms.

This study shows that bilateral tACS modulates speech perception when aligned with degraded word rhythms, but only with specific electrode placement and statistical analysis.

This study evaluates methods for detecting phase effects in neural and behavioural responses using simulations and identifies optimal approaches for different response types.

The paper shows that listeners can influence how many sound sources they perceive, as evidenced by neural activity patterns that align with their perceptual intentions.