Dawn Finzi

The paper uses a self-supervised neural network to show that visual streams in the brain may arise from a single computational principle rather than separate behavioral specializations.

This study examines how visuospatial processing in high-level visual cortex develops from adolescence to adulthood using fMRI and pRF modeling, revealing category- and stream-specific changes.

The paper examines how visuospatial computations differ by category and visual stream and how they develop during adolescence using fMRI and pRF modeling.

The paper tracks how distributed category representations in ventral temporal cortex develop over time and links these changes to individual differences in word and face recognition.

This paper introduces TDANN, a model that predicts functional organization in primate visual cortex by balancing task-general representation and spatial smoothness, showing improved brain-like representations and applications in prosthetic design.

The paper finds that in childhood, white matter connections better predict cytoarchitecture than category-selectivity in VTC, but this relationship holds for both in adulthood.

The paper shows that spatial integration in face-selective brain regions enables holistic face recognition and predicts the behavioral impact of face inversion.

The paper shows that during childhood, face- and word-selective regions in the ventral temporal cortex expand while limb-selective regions shrink, indicating cortical recycling of function.

The paper shows that spatial computations in ventral and lateral face-selective brain regions differ, with ventral regions focused on the fovea and lateral regions extending peripherally, linked to distinct white matter connections.