Vladislav Ayzenberg

The paper characterizes the functional organization of the human visual system in neonates and across late gestation, revealing a tripartite structure that develops through intrinsic mechanisms.

This study shows 3-year-old children can rapidly recognize objects under challenging visual conditions, outperforming computational models unless those models are trained on vast amounts of data.

This study reveals that pulvino-cortical white matter pathways in human neonates exhibit retinotopic and hierarchical organization similar to adults, but with less mature ventral visual connectivity.

The paper shows a convolutional neural network based on the Drosophila visual system predicts defensive blinking and emotional responses to looming stimuli in humans.

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

The paper uses EEG to show that dorsal pathway activity precedes and predicts ventral pathway responses during object recognition, suggesting dorsal input to ventral pathways.

The paper identifies dorsal cortex regions involved in computing object-centered spatial relations and shows their role in supporting object categorization through connectivity with ventral cortex.

This study investigates how shape skeletons contribute to perceptual organization and object recognition by analyzing brain activity in V3 and LO regions using fMRI and RSA.

This study shows that skeletal descriptors of shape are critical for human object recognition, as they explain perceptual similarity and category judgments better than other models.