Damián Care

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 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.

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