Machine Learning Paves the Way to Mind-controlled Computing

Researchers have been able to predict participants’ movements just by analyzing their brain activity. The research is the first human study to look at the neural signals of planned actions that are freely chosen by the participant and could be the first step in the development of brain-computer interfaces. Angelika Lingnau, from the Department of Psychology at Royal Holloway, and her team used functional magnetic resonance imaging (fMRI) while participants planned and performed simple hand movements inside the scanner. Crucially, participants freely chose which of three hand movements to select. Using machine learning algorithms, the researchers then determined whether they were able to predict which movement the participant was going to perform on the basis of the brain activity measured during the planning phase. Lingnau said: “We are very excited by…


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