Massimo De Agrò

ctSpyderFields reconstructs visual fields of spiders from CT scans, enabling comparative analysis of visual ecology and evolution.

This study investigates how jumping spiders detect moving targets through their secondary eyes and finds that they respond to spatiotemporal luminance changes without requiring full motion segmentation.

Antlion larvae reorient toward prey-like vibrations using optimal angular paths to achieve efficient sand-throwing positions.

This study tests whether jumping spiders are affected by the peripheral drift illusion, finding they do not perceive static sawtooth patterns as rotating.

This study shows jumping spiders use their shape-detecting eyes to process both motion type and implied structure from dot clouds, revealing complex integration of motion and form processing.

This paper introduces a method to quantify liquid consumption in small invertebrates using 3D body reconstruction and DeepLabCut, showing accurate volumetric change measurements and feeding responses to sucrose and caffeine solutions.