Jonathan Z. Simon

This study examines early cortical auditory responses to speech and clicks using EEG and MEG, finding a unique early peak in speech TRFs not present in click TRFs.

This study examines age-related changes in functional connectivity during difficult listening using MEG data and finds increased cortical recruitment in older adults.

The paper uses MEG to compare speech prediction in native and second language learners, finding similar neural responses across multiple linguistic levels.

This study investigates if auditory-cognitive training improves speech perception in noise for older adults using neural and behavioral measures.

The paper uses MEG to show a hierarchical progression of speech processing from acoustic to linguistic features, with late responses indicating predictive coding and semantic processing.

This study shows that high-gamma band cortical responses to speech depend on selective attention, with stronger responses when the attended speaker's pitch overlaps with the high-gamma range.

This paper investigates how speech intelligibility affects neural responses using MEG, finding that top-down mechanisms improve word processing in prefrontal cortex while auditory responses remain acoustically driven.

The paper introduces Eelbrain, a Python toolkit for time-continuous analysis using temporal response functions, demonstrating its application to EEG data from audiobook listening.

This study examines how aging affects cortical processing of continuous speech in noise using MEG, finding age-related changes in timing and strength of speech envelope representations across different cortical stages.

This study investigates how cortical tracking of voice pitch changes when multiple speakers are present, finding that selective attention modulates pitch tracking in the presence of competing speech streams.

NLGC improves directional connectivity analysis in MEG data by integrating source localization and Granger causality estimation, showing robustness to model mismatch and noise.

This paper compares and evaluates methods for estimating time-locked neural response components in speech processing using simulated and real MEG data.

This study finds that minor stroke patients without significant weakness show reduced rolandic beta band activity in both hemispheres, linked to impaired motor dexterity and processing speed.

This study investigates how the brain processes speech by using both local and unified predictive models, showing that listeners employ these models in parallel to anticipate phonemes.

The paper evaluates linguistic representations as neural markers of speech comprehension using EEG, finding that phoneme surprisal, cohort entropy, word surprisal, and word frequency are tracked beyond acoustic properties.

This study investigates neural processing of arithmetic and language using MEG in an attention-modulated cocktail party paradigm, finding distinct cortical networks for arithmetic and language.

The paper shows that auditory cortex recovers masked speech features from both attended and ignored speakers in a two-talker mixture, suggesting active stream segregation.

The paper uses mutual information analysis on MEG data to show older listeners have exaggerated cortical speech representation, linked to poorer speech intelligibility and inhibitory control.

This study examines high gamma cortical responses to continuous speech in younger and older adults using MEG, finding no age-related differences in high gamma responses despite known differences in subcortical processing.

This paper introduces Neuro-Current Response Functions (NCRFs) to estimate cortical sources from MEG data during continuous speech processing, improving spatial resolution and dipole orientation recovery.

This paper uses mutual information analysis to study age-related neural deficits in speech perception, finding greater informational loss in older adults, especially with meaningful speech maskers.

The paper identifies a rapid, attention-dependent neural response in the left temporal lobe that reflects the transition from phonetic to lexical processing during continuous speech perception.

The paper investigates why older adults show more robust speech signal tracking in challenging conditions, finding that they recruit additional auditory regions earlier than younger adults.

This paper develops real-time algorithms to decode auditory attention from M/EEG data, achieving performance comparable to offline methods with improved adaptability and efficiency.

The paper demonstrates an electrophysiological measure of speech intelligibility by correlating decoded speech envelope from EEG with behavioral speech intelligibility scores.

The paper demonstrates a method to analyze brain responses to continuous speech stimuli using MEG data, showing distinct neural processes for acoustic, lexical, and semantic processing.

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.

The paper investigates perceptual filling-in of missing acoustic rhythm using MEG, finding that sustained rhythmic neural power correlates with perceived rhythm despite absent sensory input.

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.

The paper examines how aging affects speech-in-noise processing in the midbrain and cortex, finding that age-related deficits may outweigh those from hearing loss.