Stella F. Lourenco

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.

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

The paper investigates numerical perception in dogs using fMRI, finding ratio-dependent activation in parietotemporal cortex, suggesting a conserved mechanism for quantity estimation across mammals.

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.