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...
المؤلف الرئيسي: | Roberts, EJ |
---|---|
مؤلفون آخرون: | Woolrich, M |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2024
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مواد مشابهة
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Reducing MEG interference using machine learning
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منشور في: (2023-06-01) -
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حسب: Chaturbhuj Rathore
منشور في: (2024-10-01) -
MEG: An introduction to methods
حسب: Hansen, P, وآخرون
منشور في: (2010) -
Bayesian analysis of phase data in EEG and MEG
حسب: Sydney Dimmock, وآخرون
منشور في: (2023-09-01) -
MEG and EEG data analysis with MNE-Python
حسب: Alexandre eGramfort, وآخرون
منشور في: (2013-12-01)