虚拟光标皮层控制的支持向量回归

Proceedings. 2005 First International Conference on Neural Interface and Control, 2005. Pub Date : 2005-05-26 DOI:10.1109/ICNIC.2005.1499832

Wang Yongjil, Wang Wan, He Jiping, Huang Jian

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引用次数: 1

摘要

本文利用支持向量机(SVM)对虚拟光标的皮层控制进行了研究。在SVM中，回归估计的训练输入是运动皮层和运动前皮层神经元集合的放电速率，输出是虚拟光标的运动轨迹。回归结果证明支持向量机是有效的，可用于仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Support vector regression for cortical control of virtual cursor

In this paper, cortical control of virtual cursor was investigated by means of support vector machine (SVM). In SVM, the training inputs of the regression estimation are firing rates of neuronal ensembles in motor and premotor cortex, and the outputs are trajectories of virtual cursors. The regression results prove that the SVM is effective and available for simulation.

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Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.

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