Faith E. Gilbert

Resolving Competition in Auditory Cortex: Effects of Emotional Content and Misophonia Sensitivity

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

Bayesian multilevel modeling of group and participant level effect sizes: Stronger inter-individual differences in pupil dilation compared to EEG alpha power during aversive conditioning

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.

Emotional Responses to Naturalistic and AI-generated Affective Pictures: A Systematic Comparison

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: An AI model for predicting subject-level neurophysiological responses to text and pictures

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

Social Anxiety Increases Autonomic and Visuocortical Generalization of Conditioned Aversive Responses to Faces

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.

Robust single-trial estimates of electrocortical generalized aversive conditioning: Validation of a Bayesian multilevel learning model

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.

Decoding in the fourth dimension: Classification of temporal patterns and their generalization across locations

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

Neurophysiological and Autonomic Dynamics of Threat Processing During Sustained Social Fear Generalization

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

Quantifying Population-level Neural Tuning Functions Using Ricker Wavelets and the Bayesian Bootstrap

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.