Researchers at Carnegie Mellon University, led by Bin He, have made significant advancements in noninvasive brain-computer interfaces (BCIs) using an innovative EEG wearable. Their study with 25 human subjects, published in Nature Communications, successfully integrated focused ultrasound stimulation to create a bidirectional BCI that both encodes and decodes brain waves through machine learning. This technique enhances signal quality and overall BCI performance by targeting specific neural circuits. Noninvasive BCIs are praised for being affordable, safe, and widely accessible, and this breakthrough represents a major step forward in improving their effectiveness for communication.
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