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Model-free functional MRI analysis using cluster-based methods
2003
Intelligent Computing: Theory and Applications
Conventional model-based or statistical analysis methods for functional MItT (fMRI) are easy to implement, and are effective in analyzing data with simple paradigms. However, they are not applicable in situations in which patterns of neural response are complicated and when fMRI response is unknown. In this paper the "neural gas" network is adapted and rigourosly studied for analyzing fMRI data. The algorithm supports spatial connectivity aiding in the identification of activation sites in
doi:10.1117/12.487254
fatcat:wawh4i6hqjhzjbz46zsg4j2jum