Decoding non-invasive brain activity with novel deep-learning approaches
<p>This thesis delves into the world of non-invasive electrophysiological brain signals like electroencephalography (EEG) and magnetoencephalography (MEG), focusing on modelling and decoding such data. The research aims to investigate what happens in the brain when we perceive visual stimuli o...
Main Author: | Csaky, R |
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Other Authors: | Woolrich, M |
Format: | Thesis |
Language: | English |
Published: |
2023
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Subjects: |
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