Lennart Wittkuhn

The paper introduces FASTIMAGES, a benchmark dataset combining MEG and fMRI to evaluate replay detection methods in humans, showing method-specific strengths and cross-modality challenges.

The paper investigates replay detection using TDLM and MEG during post-learning resting states and finds no evidence of replay, suggesting methodological limitations in detecting low-density replay events.

The paper shows that the entorhinal cortex signals generalisable aspects of past experience during early exposure to novel environments, improving decision-making accuracy.

The paper shows that neural replay in visual cortex supports implicit learning of higher-order sequential relationships without conscious awareness.

This paper introduces a method to detect sub-second neural activation sequences using fMRI, showing it can identify image-specific patterns even when stimuli are presented with 32 ms intervals.