Robert Scholz

The paper identifies a topographic organization of mental imagery in the human parietal cortex, showing modality-specific regions and a central hub for multisensory imagery.

This study shows early sensory deprivation causes localized reorganization near deprived primary sensory areas while preserving the overall cortical hierarchy.

The paper tests if cortical geometry encodes sensory function by modeling multisensory integration from geometric eigenmodes, finding they align with sensory domains but require additional modes for full hierarchy.

The paper introduces SCD to analyze spatial influences on cortical functional specialization, revealing a dominant gradient and competitive suppression from other brain regions.

The paper uses predictive modeling to show that stronger oral reading ability correlates with closer proximity between visual and association cortex in the brain.

The paper predicts individual brain activity patterns during tasks using resting-state networks, showing task-specificity and relevance of cortical microstructure/morphology.

This study compares machine learning models using functional connectivity and its derivatives to predict schizophrenia, finding that raw connectivity outperforms low-dimensional features.

The paper uses variograms to show that function changes more rapidly in association cortex than in sensory and motor cortex, linked to intracortical myelin levels.

The paper investigates the role of the orbitofrontal cortex in creating cognitive maps by showing that its inactivation disrupts specific cue-outcome associations but not model-based learning overall.

This study investigates the neural representation of hierarchies in humans and animals, showing shared mechanisms between hippocampus and prefrontal cortex across species.