Marius V. Peelen

This study shows buildings activate scene-selective visual cortex independently of visual features, with delayed and prolonged responses compared to scene-selectivity.

The paper investigates how object shape, real-world size, and mobility are represented in human visual cortex using fMRI and a novel stimulus set that manipulates these dimensions independently.

The paper shows that objects improve scene recognition, especially in poor visibility, and that this effect depends on object placement and is mediated by the lateral occipital cortex.

The paper shows that contextual object associations guide attention in visual search, interacting with categorical information and affecting search performance.

The paper investigates how contextual associations shape neural representations of objects in visual cortex, showing that contextual relations emerge late and are encoded in specific brain regions.

The paper tests how semantic context influences eye movements compared to visual salience in narrative viewing.

The paper shows that visual cortex dynamically updates object representations using predictive contextual information from the surrounding scene, even when objects are occluded.

This study investigates how categorical, semantic, and visual similarity affect memory search performance in short- and long-term memory tasks.

This paper uses EEG to show that object constellations are processed differently than single objects, with real-world size information emerging around 200 ms after stimulus onset.

The paper shows that visual memory biases for body postures are influenced by knowledge of effort, with stronger biases for more effortful postures.

The paper investigates the neural time course of size constancy in natural scenes using EEG and MVPA, finding that retinal size decoding begins at 80 ms and distance modulation occurs later.

The paper shows that object-based models better predict emotion ratings for daily-life scenes than emotion-based models, suggesting emotion schemas rely on object processing.

The paper shows that upright human silhouettes are more detectable than inverted ones in an inattentional blindness task, suggesting a visual bias for upright human forms.

The paper investigates how preparatory activity in visual cortex guides attention during context-guided search, finding that anchor objects, not targets, are represented in brain regions like LOC and IPS.

This study investigates how visual working memory and long-term memory contribute to hybrid visual memory search using event-related potentials.

This study shows that scene context and attention independently improve MEG decoding of object categories, even when objects are degraded and attention is directed away from them.

The paper shows that category-based attention enhances memory search efficiency by modulating visual processing and directing spatial attention to within-category distractors.

The paper shows that distractor expectations shape attentional templates for complex shapes, with performance improving when distractor context is expected, indicating flexible adaptation of target features.

The paper predicts performance in two visual search tasks using neural representational similarity from fMRI, MEG, and DNNs, finding task-specific patterns of neural similarity that predict performance.

The paper shows that objects sharpen scene representations in visual cortex, with effects starting around 300 ms after stimulus onset, similar to how scenes sharpen object representations.

The paper shows that boundary extension depends on depth-of-field, with naturalistic DOF enhancing the illusion in distant views.

The paper shows that visual memory of body postures is biased by priors related to gravity and biomechanical constraints, which are reduced when body stimuli are inverted.

The paper shows that implicitly learned co-occurrence statistics between distractor shapes improve visual search efficiency.

The paper investigates how categorical and perceptual similarities between target and distractor objects influence visual search performance and neural correlates of attention over time.

The paper shows that attentional modulation affects body shape processing in visual cortex even when bodies are not task-relevant, indicating a spatially-global attention mechanism for body shapes.

The paper tests the hypothesis that scene context impairs perception of semantically congruent objects, finding congruency costs in both response time and accuracy tasks.

The paper shows that preparatory activity in visual cortex during object search is influenced by contextual expectations about object appearance, reflecting predicted retinal images based on scene context.

The paper investigates the neural mechanisms of context-based object recognition using TMS experiments, finding that scene-selective cortex supports recognition earlier than object-selective cortex.

This study uses a neural network model to show how neurons represent and incorporate prior knowledge through environmental regularities, without probabilistic feedback.

This study replicates and confirms a double dissociation between object- and scene-selective regions in visual cortex using TMS, showing LOC impairs object recognition and OPA impairs scene recognition.