Alexander Maÿe

This study shows that delta-band oscillatory sensory stimulation improves temporal prediction performance in visual and auditory tasks, but not in tactile tasks, highlighting the importance of phase alignment between sensory input and neural oscillations.

The paper investigates neural oscillations during audiovisual sequence prediction, finding theta-band coupling and beta power patterns linked to prediction accuracy and cross-frequency interactions.

This study uses information-theoretic measures to quantify the sensorimotor contingencies in social synchronization tasks and links them to subjective experiences of synchronicity and creativity.

This study uses delta tACS to investigate how phase-specific modulation of brain oscillations affects temporal prediction accuracy in a unimodal task.

The paper shows that delta phase resets support temporal prediction in a non-rhythmic visual task without power increases or stimulus-driven activity.

The paper develops a computational model of sequence learning using neural oscillators and compares it to human behavioral results, showing good agreement in error rates across sequence complexities.