Ambra Ferrari

This study investigates how vibrotactile signals influence music processing and auditory scene analysis by combining fMRI, EEG, and psychophysics in human participants.

This study uses Bayesian computational modeling to show that prior expectations guide multisensory integration during face-to-face communication, with stronger integration when signals convey congruent communicative intent.

WTools is a MATLAB-based toolbox for EEG time-frequency analysis using wavelet transformation, offering a user-friendly GUI, open-source code, and tutorial for cognitive neuroscience applications.

The paper investigates forward and backward blocking in visual statistical learning and finds reliable backward blocking but no evidence for forward blocking.

This study shows that contextual sensory expectations update in a hierarchical manner, with executive control regions showing suppression first, followed by sensory areas, when expectations are task-relevant.

This study shows that early deafness leads to visual motion processing in auditory motion-selective brain regions and altered functional connectivity between auditory and visual motion areas.

This study shows that humans integrate past and current sensory signals to estimate uncertainty, challenging models that assume uncertainty is based only on current stimuli.