A new Swiss study has revealed that machines are more capable of reading human thoughts when users undergo specific training. The research, conducted by the University of Geneva, marks a significant advancement in brain-machine interface (BMI) technology, with potential to aid individuals who lose their ability to speak due to medical conditions like strokes.
Published in Communications Biology, the study involved 15 volunteers who were asked to silently imagine saying the syllables “fo” and “gi” while connected to electrodes. Over five days, participants received real-time feedback on how accurately the system interpreted their brain signals, helping them improve communication with the machine. Those who received consistent feedback showed remarkable progress compared to a control group that did not.
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The findings highlight the critical role of training in improving BMI systems, which could lead to innovative communication methods for people with severe speech impairments. The study’s insights could pave the way for thought-based communication technologies.
