Joshua P. Kulasingham

This paper develops methods to estimate level-dependent subcortical TRFs using EEG data from continuous speech and finds consistent level-dependent changes in wave V peaks.

This study compares simple and complex peripheral auditory models for estimating subcortical EEG TRFs in continuous speech, finding simple models yield similar results faster.

This study measures subcortical responses to continuous speech in sound-field conditions and finds that 16 minutes of data is sufficient to reliably estimate TRFs with clear wave V peaks.

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

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.