MEICA
**MEICA**
What is MEICA?
MEICA, often standing for Minimum Entropy Independent Component Analysis, is a statistical signal processing technique primarily used in the analysis of fMRI (functional Magnetic Resonance Imaging) data. It aims to decompose the fMRI data into independent components and then select those components which are deemed to be representative of the underlying neural activity based on an entropy-based criterion. It's used to improve the detection of brain activity patterns while reducing noise and artifacts in fMRI studies.
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