Research in the B.R.A.I.N. Lab is highly interdisciplinary, bringing together methods and perspectives from functional neuroimaging, artificial intelligence, and computational neuroscience. The lab investigates how brain activity encodes behavior, learning, and memory, and how these processes can be modeled and decoded using AI. By leveraging tools such as MEG, fNIRS, EEG, and other neurotechnologies, we study the neural basis of speech, memory, and motor learning. We also explore the use of deep learning and machine learning to enhance neural decoding, ultimately aiming to develop practical neurotechnological applications for communication and rehabilitation.

Beyond the technical front, the B.R.A.I.N. Lab is driven by a broader vision: to unravel the complexity of the human brain and translate this understanding into solutions for healthcare. This includes developing innovative tools for individuals with speech and motor impairments, advancing cognitive neuroprosthetics, and addressing challenges in neurological and psychiatric disorders.

Projects

Motor Learning

• Neural substrates of early motor skill learning
• The role of Neural Replay in procedural memory
• Beneficial effects of rest (naps or meditation) in memory consolidation

Human-Computer Interaction

• Non-invasive Speech-BCI
• EMG and MMG wearables for gesture recognition
• Silent Speech Recognition using wearable interfaces

Neural Disorders

• Single-trial detection of neural disorders (ALS, MS, Alzheimer’s, etc.)
• Post-stroke Neurorehabilitation
• Skill learning rehabilitation in learning disability disorders.

Equipment