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Professor Maryam Shanechi, who led the research team, said DPAD works by prioritizing the analysis of signals related to the target behavior. The algorithm uses a deep RON network to learn and distinguish different brain activity patterns, thereby accurately decoding the signals that control the desired behavior.
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