Rufin Vanrullen A

This study shows that traveling waves in the brain support attentional search by causally linking neural activity to behavioral performance.

This paper introduces modality-agnostic decoders for fMRI data to predict stimuli regardless of input modality, showing they perform as well as or better than modality-specific decoders.

The paper uses random tactile stimulation to reveal beta-band oscillatory bursts in the somatosensory system, showing they share characteristics with resting-state and evoked beta oscillations.

The paper shows that alpha-band oscillations have two distinct roles in visual attention, with different propagation directions and functional implications.

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

This study shows that high alpha amplitude at specific phases reduces cortical excitability and perceptual performance, supporting the Pulsed Inhibition theory.

The paper shows that human single neurons encode sequence order through phase-locked spikes relative to theta oscillations, similar to rodent phase precession.

The paper shows the brain anticipates future events in sequences by reinstating sensory representations before stimuli occur, even when sequences are disrupted.

The paper compares EEG activity during same-different and spatial-relation visual reasoning tasks, finding higher low beta band activity in same-different tasks, suggesting involvement of working memory and attention mechanisms.

This study investigates how DMT alters cortical travelling waves during a resting state, finding reduced backward and increased forward waves, supporting a model of altered precision-weighting of priors.

This study investigates which MEG oscillatory components correlate with low- or high-level visual object representations using fMRI and DNN layer representations as templates.

This study investigates how conscious perception affects perceptual echoes (PE) by comparing neural responses to perceived and suppressed visual stimuli using EEG.

This study shows that alpha traveling waves in the brain change direction based on visual stimulation, with forward waves supporting visual processing and backward waves involved in top-down control.

The paper investigates oscillatory activity in monkey V1 using voltage-sensitive dye imaging and finds comparable oscillatory responses to visual stimuli as observed in human studies.

The paper shows that prefrontal covert attentional spotlight explores space rhythmically at alpha frequencies, influencing sensory encoding and behavioral accuracy.

The paper shows that a predictive coding model generates alpha-band rhythms and oscillatory travelling waves in EEG data, matching experimental observations.

This study uses TMS to causally manipulate occipital alpha oscillations and shows they modulate temporal order judgments, supporting discrete temporal processing in vision.

The paper uses TMS to show that both V1 and FEF are periodically involved in difficult visual search tasks at theta frequency, supporting a two-stage attention model.

This study shows that 10 Hz visual entrainment modulates the flash lag illusion, indicating a link between alpha oscillations and temporal perception.

The paper shows attention modulates SSVEP amplitude differently at alpha and gamma frequencies, with positive effects at gamma and negative at alpha.

The paper investigates the spatial dimension of perceptual echoes in the human brain, finding they propagate as periodic travelling waves across visual cortex.

This study shows that 10 Hz flicker affects selective attention based on individual alpha peak frequency, with stronger effects during stimulus processing than preparation.

The paper demonstrates that alpha-band brain oscillations can drive the perception of a third flash in the triple-flash illusion, based on pre- and post-stimulus EEG phase and power.

The paper tests the hypothesis that attentional stimulus selection operates rhythmically, showing frequency changes in EEG when monitoring one vs. two items.