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Nazanin Ahmadi-Dastgerdi1, Hossein Hosseini-Nejad1, Hamid Alinejad-Rokny2

  • 1Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

概括

这项研究介绍了用于脑植入物的硬件效率高的尖端分类方法. 它有效地处理不断变化的神经信号和新的神经元,在减少资源使用的情况下实现高精度.

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