Flavio Jean Schmidig

This paper introduces a method to quantify memory retrieval through anticipatory eye gaze without verbal reports, showing its effectiveness across multiple experiments.

The paper introduces a visual paired association learning paradigm to study memory consolidation during sleep and finds that naps improve recognition memory stability but not cued recall.

SleepEEGpy provides a Python package for sleep EEG data preprocessing, analysis, and visualization, offering a unified workflow for researchers.

The paper tests if novel vocabulary is encoded during slow-wave sleep and identifies neural events that support memory formation.