Stanford Researchers Decode Silent Thoughts with 74% Accuracy

Stanford Breakthrough Decodes Inner Speech with 74% Accuracy🧑🏻🔬 Stanford University researchers have achieved a groundbreaking milestone in neurotechnology, decoding silent thoughts with up to 74% accuracy using brain-computer interfaces. Published in "Cell" , the study marks the first real-time decoding of imagined words from the brain’s motor cortex. Led by Erin Kunz and Frank Willett, the team used microelectrode arrays implanted in four participants with severe paralysis from ALS or brainstem stroke. By capturing neural patterns during attempted or imagined speech, the system offers transformative potential for communication aids and neuroprosthetics. #Neurotechnology #BCI #Stanford #Innovation

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