Spatial component analysis is often used to explore multidimensional time series data whose sources cannot be measured directly. Several methods may be used to decompose the data into a set of spatial components with temporal loadings. Component selection is of crucial importance. and should be supported by objective criteria. https://www.smokeandmirrorsboutiquers.shop/product-category/knee-length-skirts/
Mutual information spectrum for selection of event-related spatial components. Application to eloquent motor cortex mapping.
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