Sophia Robert

Divergent specializations for motion-driven representations in higher lateral and dorsal visual areas

The paper investigates how artificial neural networks trained on motion-related tasks develop representations that align with brain activity and support object categorization using motion cues.

Space- and object-based attention in patientswith a single hemisphere following childhood resection

This study compares attentional processing in individuals with childhood hemispherectomy to typically developing controls, finding greater RT costs for patients in object-based attention tasks.

Cross-sectional and longitudinal changes in category-selectivity in visual cortex following pediatric cortical resection

This study examines changes in category-selectivity in visual cortex after pediatric cortical resection, showing both adherence to and deviations from standard topography over time.

Functional resilience of the neural visual recognition system post-pediatric occipitotemporal resection

This study investigates whether a single occipitotemporal cortex (OTC) is sufficient for visual recognition after pediatric resection, finding preserved neural representations but impaired behavioral performance in face and object recognition.

Differential functional reorganization of ventral and dorsal visual pathways following childhood hemispherectomy

This study investigates functional reorganization of ventral and dorsal visual pathways after childhood hemispherectomy, finding greater reorganization in the ventral pathway.

Disentangling object category representations driven by dynamic and static visual input

The paper investigates how motion and static visual cues are processed in the brain for object categorization, finding that both elicit robust category responses in visual cortex regions.

With Childhood Hemispherectomy, One Hemisphere Can Support--But is Suboptimal for--Word and Face Recognition

This study examines face and word recognition in children with hemispherectomy, finding that a single hemisphere can support both tasks but with reduced accuracy compared to typical development.

Curvilinear features are important for animate/inaimate categorization in macaques

This study shows that macaques can categorize animate and inanimate objects using curvilinear image features without training.