Faith E. Gilbert

The paper investigates how emotional content and misophonia sensitivity affect auditory cortex responses to concurrent sounds using ASSR and other measures.

This study compares pupil dilation and EEG alpha power during aversive conditioning, finding greater inter-individual variability in pupil dilation effects at the participant level.

This study compares emotional responses to AI-generated and naturalistic affective pictures, finding that AI pictures elicit similar self-reported and physiological responses to original stimuli.

Concept2Brain generates synthetic electrophysiological responses to text and pictures using a deep learning model, enabling reproducible EEG datasets and AI-driven brain activity modeling.

This study shows that social anxiety disorder is linked to broader generalization of aversive responses to faces, with increased visuocortical and pupil dilation responses to facial stimuli.

The paper validates a Bayesian multilevel learning model for estimating single-trial electrocortical responses during aversive conditioning, showing improved accuracy and handling of missing data.

The paper introduces a decoding method using temporal features from neural time series to classify experimental conditions and assess generalization across sensor locations.

The paper investigates threat processing during sustained social fear generalization using EEG and pupillometry, finding visuocortical sharpening and sustained autonomic responses without prior conditioning.

This paper introduces a method using Ricker wavelets and Bayesian bootstrap to quantify neural tuning functions in human EEG data during aversive learning, showing improved fit and interpretability compared to traditional models.

The paper investigates how auditory aversive conditioning affects alpha-band brain activity, finding threat-specific reductions and no generalization to similar tones.