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...
Prif Awdur: | Roberts, EJ |
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Awduron Eraill: | Woolrich, M |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2024
|
Eitemau Tebyg
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Reducing MEG interference using machine learning
gan: Sammi Hamdan, et al.
Cyhoeddwyd: (2023-06-01) -
MEG or No MEG, That is the Question
gan: Chaturbhuj Rathore
Cyhoeddwyd: (2024-10-01) -
MEG: An introduction to methods
gan: Hansen, P, et al.
Cyhoeddwyd: (2010) -
Bayesian analysis of phase data in EEG and MEG
gan: Sydney Dimmock, et al.
Cyhoeddwyd: (2023-09-01) -
MEG and EEG data analysis with MNE-Python
gan: Alexandre eGramfort, et al.
Cyhoeddwyd: (2013-12-01)