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Updated: Feb 4, 2026

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

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一个基于里曼纳体的通用模型,用于从ECoG信号中稳定解码运动轨迹

Reza Eyvazpour1, Behraz Farrokhi1, Abbas Erfanian1,2

  • 1Department of Biomedical Engineering, School of Electrical Engineering, Iran Neural Technology Research Center (INTC), Iran University of Science and Technology (IUST), Tehran, Iran.

iScience
|February 2, 2026
PubMed
概括

这项研究引入了一种使用电皮质谱 (ECoG) 信号的新脑电脑接口 (BCI) 方法. 该方法通过使用里曼几何和深度学习来改进不同会话中手部运动的解码.

关键词:
神经科学 神经科学感官神经科学是一种神经科学.

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