Laetitia Grabot

The paper quantifies structural and contextual biases in duration perception using a discrimination task and finds that Bayesian inference and rescaling explain the results.

This study shows that non-invasive MEG/EEG recordings can detect mesoscopic traveling waves in human visual cortex, challenging the assumption that global sensor-array waves reflect macroscopic cortical activity.

This paper develops a model-based approach to detect traveling waves in human visual cortex using MEG-EEG, showing improved accuracy when modeling stimulus-induced traveling waves.

The paper shows that attentional sampling frequency increases with task complexity in visual search tasks, as reflected in neural oscillations.

The paper investigates how pre-stimulus alpha oscillations influence illusory perception during postdiction, finding that power reflects prior expectations and phase predicts perceptual outcomes.

The paper shows that pre-stimulus frontal alpha power correlates with individual perceptual bias in a time perception task, suggesting alpha activity reflects processes that help overcome idiosyncratic biases.

The paper investigates how phase-amplitude coupling in the alpha-beta band affects the precision of self-generated timing tasks.

This paper introduces non-linear auto-regressive models to detect and quantify cross-frequency coupling in neural time series, showing improved performance over traditional methods.