Alexander Zhigalov

This study uses MEG and RIFT to show that statistical learning of distractor suppression reduces neural excitability in early visual cortex, but not alpha-band activity.

This paper introduces a rapid invisible frequency-tagging technique for BCIs, enabling real-time control with high accuracy and reduced visual fatigue.

The paper investigates whether perceptual alpha-echoes in MEG data are better explained by discrete sources or cortical travelling waves, finding both explanations are viable.

This study uses broadband visual flicker and MEG to reveal gamma band echo in the visual cortex, showing subject-specific dynamics and explaining it with a PING model.

This study shows that high-gamma activity (HGA) in human cortex can be synchronized across distant brain regions, revealing a new form of neuronal communication distinct from lower-frequency synchronization.

This study shows that alpha oscillations in parieto-occipital regions gate neuronal resources rather than controlling excitability in early visual cortex through spatial attention.

The paper shows that even advanced MEG/EEG connectivity measures can produce false positive 'ghost' interactions due to signal mixing, and quantifies this effect through simulations.