Jonathan Touryan

The paper examines neural responses to natural visual motion in a kart race video game, finding spatial selectivity in neural activity that extends beyond overt attention and varies across brain areas.

The paper investigates neural processing during saccades in a virtual environment, finding that pre-saccadic visual stimuli continue to influence neural responses throughout the saccade.

This study examines gaze behavior during a virtual navigation task, finding that participants fixate more on target objects than distractors and adjust their search patterns under divided attention.

This study benchmarks EEG preprocessing methods by analyzing their impact on signal and event-related measures across multiple studies.

This paper performs a large-scale EEG mega-analysis across 18 studies, showing that automated processing and consistent metadata enable channel- and source-level insights into spectral and amplitude characteristics.

This paper performs a large-scale EEG analysis across 17 studies to identify cognitive aspects of event-related responses using HED tags and RSA, showing significant similarities in annotated features across diverse conditions.

The paper trains a convolutional neural network to decode P300 evoked responses from EEG data and shows it is sensitive to experimental variability and improves signal-to-noise ratio.