Machine learning methods for the analysis of MEG data
<p>Neuroimaging data is often high-dimensional and difficult to interpret. Methods have been developed which can be applied to datasets to make them more malleable and comprehensible to researchers. This process is critical for improving our understanding of the nature of the brain. The develo...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2024
|