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用植物动力学优化脑机接口的闭环性能

Designing plant dynamics to optimize task-specific closed-loop performance of brain-machine interfaces

作者:Suraj Gowda 作者单位:University of California at Berkeley 加工时间:2013-11-21 信息来源:EECS 索取原文[46 页]
关键词:脑机接口;闭环性;动力学;精度;性能;工具
摘 要:In this work, we utilize experimental data from a monkey subject performing closed-loop control of a 2D cursor BMI and show that the presence of certain dynamical properties correlate with performance loss. We also show that other dynamical properties represent tradeoffs between naturally competing objectives, such as speed versus accuracy. These empirical findings demonstrate the need to eliminate detrimental dynamics by accounting for the feedback control strategy employed by the user, as well as the need to fine-tune plant dynamics to optimize task-specific performance tradeoffs. To this end, we develop general-purpose tools for designing BMI plant dynamics. Using these tools, we show two different ways to improve accuracy and hold performance at the expense of speed.
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