Alec Marantz

This study uses MEG to compare brain responses to case and agreement in Hindi and Nepali, finding distinct neural patterns related to grammatical features in Hindi.

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

This study investigates how pitch is neurally encoded and integrated in the auditory cortex using MEG, showing that pitch is represented across different cue types and that context modulates its temporal dynamics.

The paper investigates how the brain processes morphemes during speech comprehension using MEG data and shows that predictive models incorporating morpheme-level information outperform models without it.

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 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.

This study investigates how the brain adapts to accented speech, finding that prefrontal cortex modulates auditory cortex activity to aid comprehension.

The paper investigates how future speech input influences the perception of earlier speech sounds by maintaining sensory features until they can be integrated with top-down information.