Leon Y. Deouell

The paper shows that word prediction and semantic processing continue during mind-wandering, even when subjective experience is decoupled from speech content.

This paper introduces pEYES, a toolkit for evaluating eye-movement detection algorithms, showing that Engberts algorithm performs best while others show variability.

This paper investigates whether task demands determine the format of feature maintenance in visual working memory, finding that task requirements influence whether features are stored separately or bound together.

This study shows that EEG decoding of visual representations is reliable within and across sessions, tasks, and attention conditions, indicating stable visual representations.

The paper investigates how task requirements influence the format of object representation in visual working memory, finding that binding between features is better when task-relevant.

The paper investigates how temporal anticipation affects perception and action by showing that perceptual sensitivity and motor responses are influenced by temporal structure through a logarithmic transformation of event hazard rate and temporal-estimation noise.

This study examines how object-category representations change during prolonged viewing, finding sustained neural responses that are not re-evoked by subsequent fixations.

The paper examines how sensory and frontoparietal brain regions represent visual experiences over time, finding sustained sensory patterns and transient frontoparietal patterns during visual stimulation.

The paper investigates how human auditory cortex processes auditory stimuli across multiple time scales using EEG and computational modeling, finding that neural responses adapt to different frequency intervals over distinct time scales.

This study compares face-selective neural activity during free and cued viewing using ERPs and FRPs, finding the N170 face effect is present in both but with category-specific adaptation in free viewing.

The paper provides direct evidence for prediction signals in the human frontal cortex during event anticipation, independent of prediction-error signals.

The paper investigates how predictability affects neural responses in visual cortex during blinks and visual interruptions, finding suppression in mid- and high-level visual regions for predictable events.

The paper estimates visual onset latencies in human posterior parietal cortex using ECoG recordings and finds early responses in the posterior intra-parietal sulcus comparable to peristriate visual areas.

This study identifies two sustained neural response types in scalp EEG during visual stimulation: high-frequency broadband activity in early visual cortex and low-frequency potential shifts, showing distinct characteristics and sources.

The paper shows that saccade-related transients are suppressed in higher-level visual cortex but not early visual cortex in humans.

This study examines how visual stimuli are persistently encoded in the human brain, finding that this encoding decays along the ventral visual stream.

This paper shows that cross-frequency coupling in cortical signals can arise from waveform shape rather than functional interaction between neural sources.