Juan E. Kamienkowski

This paper uses cursor trajectory features from an online Trail Making Test to predict age, visual working memory, and inhibitory control, showing better performance than traditional completion time metrics.

The paper investigates neural dynamics during hybrid search in naturalistic settings using MEG and eye tracking, identifying memory load modulations and target detection markers.

The paper introduces a deconvolution-based method to analyze overlapping neural signals from EEG and eye-tracking data during hybrid visual and memory search tasks, revealing dynamic interactions between attention and memory.

This study combines computational modeling and behavioral experiments to examine how uncertainty is perceived during visual search in natural stimuli.

This paper introduces an enhanced neural network model for predicting eye movements in hybrid search tasks and presents a dataset of human eye movements in such tasks.

This paper presents a web-based eye-tracking prototype for remote cognitive assessments, demonstrating its functionality and limitations using the anti-saccade task.

The paper investigates electrophysiological signatures in a free-viewing task using EEG and eye movements, identifying categorical and task-related effects in brain activity.

The paper presents an open-access EEG dataset for inner speech recognition to advance research on brain-computer interfaces.