Elia is a cognitive neuroscientist with a background in biomedical engineering. His expertise lies in brain imaging (fMRI, EEG, MEG) and computational cognitive neuroscience, with a particular focus on auditory perception and cognition. Currently, he is dedicated to developing AI models for machine hearing, inspired by the human brain’s functioning.
At BISS, Elia explores the integration of neuroscience knowledge, AI, and new technologies to optimize interactions within real, virtual, and mixed environments. His work aims to translate academic research into practical applications through audio analytics, collaborating with companies, government bodies, and non-profit organizations.
Elia holds the position of Full Professor of Neural Signal Analysis at the Faculty of Psychology and Neuroscience and is a Fellow of the Netherlands Academy of Engineering.
Keywords:
- Cognitive neuroscience
- AI models
- Machine hearing
My work at BISS
Incorporating Semantic Representations in Deep Learning for Improved Sound Recognition
Bridging auditory perception and natural language processing with semantically informed deep neural networks.
How can we recognize sound when it is out of sight?
We combine AI and neuroscience to find out more about how the brain works when it recognizes sounds.
Transforming sound into something meaningful
Intermediate acoustic-to-semantic representations link behavioral and neural responses to sounds.