Simon van Gaal

This study uses a passive auditory oddball protocol to measure pupil-linked signatures of Bayesian belief updating during environmental change.

The paper examines how global cortical dynamics, measured via EEG and pupil-linked arousal, relate to perceptual sensitivity under different neuromodulator conditions.

The paper shows that baseline activity of V1 interneurons mediates the relationship between pupil-linked arousal and engaged behavioral state in mice and humans.

The paper investigates how expectations, attention, and NMDA receptor blockade modulate sensory processing stages using EEG decoding in a visual stimulus experiment.

This study pharmacologically manipulates arousal in humans to test its impact on performance, finding that catecholaminergic enhancement shifts the arousal-performance curve while cholinergic agents do not.

This study compares neural mechanisms of perceptual and attentional impairments on conscious access using EEG, showing distinct effects on complex feature processing despite equal task performance.

This study investigates whether task-irrelevant auditory stimuli can manipulate central arousal during decision-making, finding they affect pupil responses but not decision formation.

The paper analyzes neural activity in mouse cortex during stimulus detection and develops a network model showing PPC mediates report-related activity in V1, with PFC playing a secondary role.

This study shows that criterion placement biases neural measures of consciousness and unconscious processing, affecting their validity.

The paper provides evidence for the inverted U-shaped relationship between arousal and performance in perceptual decision-making and presents a neurobiological model explaining it.

This study investigates how catecholaminergic neuromodulation and spatial attention jointly influence perceptual decision-making through behavioral, algorithmic, and neural measures.

The paper uses eye-movement analysis and information theory to separate perception from report in bistable visual stimuli, showing distinct neural mechanisms for integration and differentiation.

The paper shows that neural position representations of moving objects align with real-time positions during early visual processing, but delays persist in later stages.

This study shows that decision confidence determines whether perceptual or cognitive errors occur in ambiguous visual tasks.

The paper shows conflict detection in sensory input requires attention to at least one conflicting feature, while basic sensory processing occurs without attention.

This study shows that recurrent processing is critical for object recognition in complex scenes, as evidenced by behavioral, EEG, and deep learning results.

The paper investigates how attentional selection affects conscious access to visual targets in rapidly changing input conditions, finding both impairments and facilitations in target processing.

The paper investigates how conscious and non-conscious predictions affect subjective visibility of targets in an attentional blink task, finding that conscious predictions enhance visibility regardless of timing.

The paper shows that unconscious processing of stimuli in human visual cortex varies depending on whether subjective or objective awareness measures are used, with different neural correlates observed for each approach.

The paper investigates how natural fluctuations in alertness affect cognitive control by analyzing neural and behavioral responses during a conflict task under varying alertness conditions.

The paper shows that pupil dilation and slow wave ERP reflect surprise during decision-making under uncertainty, and that these signals are independent and depend on feedback awareness.

The paper shows that the brain detects stimulus features but not conflict in task-irrelevant sensory input using EEG data from humans.

The paper investigates whether predictions and attention modulate early visual cortical processing using EEG and finds no evidence of such modulation within the first 80ms post-stimulus.

This study investigates how reward awareness affects reinforcement learning by combining computational modeling and EEG, showing that reduced reward visibility impairs learning but increases repetition of previous choices.

This study investigates whether bottom-up attentional capture is influenced by prior expectations, finding no evidence of modulation by predictability.

This study investigates how top-down expectations influence conscious awareness through three experiments using attentional blink paradigms and electrophysiological recordings.