My research investigates the neurophysiological mechanisms supporting the emergence of core perceptual and cognitive functions - such as face and motion perception, numerical cognition, and multisensory integration - during the earliest stages of development, with a particular focus on newborns.
Leveraging my training in physics and computational neuroscience, my work combines experimental EEG studies with the development of advanced signal processing methods tailored to the unique challenges of developmental electrophysiological data, such as short recording durations and high noise levels. This includes tools for artifact correction, neural oscillation analysis (with an emphasis on frequency tagging), and source reconstruction.
A key translational aim of my work is to develop efficient EEG-based biomarkers to track the maturation of these core functions, bridging basic research and early clinical applications.
In previous work, I have investigated the neurophysiological bases of semantic representations, speech processing and reading, while contributing to methodological advances in EEG data analysis.
Neuroscience:
Semantic Spaces and Navigation
Methods:
EEG artifact detection and removal
Fractal dynamics in electrophysiological signals
EEG-based biomarkers:
Wearable wireless pediatric EEG
Other research topics:
Predictive coding in the early visual system