| KEYWORD |
Exploring Semantic Processing through EEG and Brain-Computer Interfaces
keywords BRAIN COMPUTER INTERFACE, EEG
Reference persons LUCA MESIN
External reference persons Hossein Ahmadi
Research Groups Mathematical Biology and Physiology
Thesis type THEORETICAL AND EXPERIMENTAL
Description The brain is an intricate network, a hub of ceaseless activity where billions of neurons communicate. This communication forms the basis of our thoughts, feelings, and perceptions. But have you ever wondered how our brains convey meaning or "semantics"? How do we understand and express complex ideas and concepts? This is the domain of semantic processing - a fascinating and crucial component of our cognitive functions.
In this master's thesis, you'll have the chance to delve into the captivating world of semantic processing, particularly in the context of Brain-to-Brain Communication. We aim to uncover how the brain handles semantic information by using electroencephalography (EEG), a non-invasive method to record the brain's electrical activity, and Brain-Computer Interfaces (BCIs).
You'll explore various aspects of this topic, from investigating how different brain rhythms are involved in semantic processing, extracting semantic features from brain signals, and understanding the networks our brains use to organize semantic information. We will also look into how machine learning and deep learning can help us classify these brain signals, paving the way for improvements in Brain-to-Brain Communication systems.
This is an exciting opportunity to work at the cutting edge of neuroscience and technology. By understanding how our brains process and communicate meaning, we can contribute to developing innovative technologies and therapies that could change how we interact with the world and each other.
Required skills Matlab programming
Deadline 17/05/2024
PROPONI LA TUA CANDIDATURA