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...
Hlavní autor: | Roberts, EJ |
---|---|
Další autoři: | Woolrich, M |
Médium: | Diplomová práce |
Jazyk: | English |
Vydáno: |
2024
|
Podobné jednotky
-
Reducing MEG interference using machine learning
Autor: Sammi Hamdan, a další
Vydáno: (2023-06-01) -
MEG or No MEG, That is the Question
Autor: Chaturbhuj Rathore
Vydáno: (2024-10-01) -
MEG: An introduction to methods
Autor: Hansen, P, a další
Vydáno: (2010) -
Bayesian analysis of phase data in EEG and MEG
Autor: Sydney Dimmock, a další
Vydáno: (2023-09-01) -
MEG and EEG data analysis with MNE-Python
Autor: Alexandre eGramfort, a další
Vydáno: (2013-12-01)