Burcu Aysen Urgen

The paper provides a step-by-step tutorial for reconstructing natural images from fMRI data using the Natural Scenes Dataset, with runnable code and quantitative metrics.

The paper introduces a database of 70 digital line drawings depicting expected and unexpected action-place relationships, validated by 207 participants using three measures of comprehensibility.

This study uses fMRI and MVPA/RSA to show that direction selectivity in action observation is distributed across multiple brain regions, including early visual and higher-order parietal and frontal areas.

This study compares neural responses to live versus video-based actions under attentional load, finding that live actions engage perceptual systems more strongly than video actions.

This study examines how attention modulates the Action Observation Network during action perception using fMRI, finding task-specific effects in different AON regions.

The paper introduces Multiarrangement, a Python toolkit for collecting human similarity judgments on video stimuli through multi-arrangement tasks, and validates its effectiveness with within-subject experiments.

This study examines how expectations influence biological motion perception using point-light displays, finding that action-related cues significantly affect response times in specific conditions.

This fMRI study investigates how prior expectations influence biological motion perception using predictive cueing, showing expectation-dependent modulation of the action observation network.

This study investigates how task conditions modulate neural responses in scene-selective brain regions using fMRI and real-life indoor stimuli.

This study examines how predictive processing and distractor saliency affect selective visual attention through reaction time measurements in letter search tasks with varying cues and distractors.

This study investigates how prior knowledge and motion cues interact to influence the temporal dynamics of agent perception using EEG and RSA.

This study investigates how attentional load modulates neural processing of biological motion in the occipito-temporal cortex using fMRI.

This study investigates neural mechanisms of biological motion perception using EEG, finding that CPP tracks stimulus coherence and differs from LRP in timing.

The paper investigates how attention modulates semantic representations during visual search for action categories, finding widespread tuning shifts across neocortex.

This study investigates how parietal cortex represents different action classes, finding a region specific to human indirect communicative actions and higher discriminability of action classes in parietal cortex compared to other regions.

The paper investigates effective connectivity in the Action Observation Network using fMRI and DCM, finding feedback connections during prediction violation.