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Real-time cloud system architecture. Scanners send brain volumes to the system via the Internet and the system returns neurofeedback. Using a series of servers, each scanner gets its own instance of the analysis pipeline (here, FCMA), providing neurofeedback in real-time and keeping the classifier updated by performing feature selection and classifier training iteratively. Adapted with permission from ref. 97, IEEE.
