Lorenzo Picinali

This study investigates how spatial changes in auditory scenes affect physiological responses like pupil dilation and microsaccades, revealing location-invariant early orienting and location-sensitive arousal responses.

This study investigates how sensorineural hearing loss affects spatial auditory change detection, finding that hearing loss, age, and spatial location influence detection accuracy and speed.

This study evaluates UAV-based acoustic monitoring for biodiversity assessment, finding that sampling intensity affects results but not strategy, and highlights its utility for broad trends over exhaustive inventories.

This study examines how spatialization and sound source characteristics affect auditory change detection behavior and neural responses.

The paper introduces MAARU, a low-cost, open-source multichannel acoustic recorder for spatial ecosystem monitoring, demonstrating its accuracy in localizing sounds and improving species identification.

The study examines how individual species respond to tropical forest degradation, finding significant variation in responses across populations and surveys.

This study evaluates three virtual sound localization training paradigms, finding that active listening significantly improves localization accuracy, with effects generalizing to new HRTFs.