DPAD 算法增強腦機接口 有望推動神經技術進步
在人類大腦複雜的神經網絡中，數十億個神經元不斷產生電活動，編碼着我們的每一個想法、動作和感覺。這種神經交響樂的複雜性長期以來一直是腦機接口（BCI）研究的一大挑戰。然而，南加州大學(USC)的研究人員最近取得了重大突破，開發出一種名爲DPAD(分離優先動態分析)的新型人工智能算法，有望徹底改變我們解讀大腦活動的方式。圖源備註：圖片由AI生成，圖片授權服務商MidjourneyDPAD算法的核心創新DPAD算法的核心在於其獨特的訓練策略。該算法首先識別與特定行爲相關的大腦模式，
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