Recasting brain-machine interface design from a physical control system perspective
Recasting brain-machine interface design from a physical control system perspective
复制标题
从物理控制系统角度重塑脑机接口设计
DOI：
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复制
发表时间：
2015
影响因子：
1.2
通讯作者：
S. Chase
中科院分区：
文献类型：
--
作者：
Yin Zhang;S. Chase
为了提高患有各种运动控制障碍的人们的生活质量，脑机接口通过将神经信号转化为控制信号来提供对假肢装置的直接神经控制。这些系统通过直接从大脑读取运动意图信号并使用它们来控制例如计算机屏幕上光标的移动来起作用。在过去的二十年里，解码问题受到了很多关注：如何将记录的神经活动转化为光标的移动？大多数方法都从估计的角度关注这个问题，即，解码器被设计为在关于记录的神经信号如何表示运动意图的各种假设下返回可能的运动意图的最佳估计。在这里，我们从物理控制系统的角度重新审视解码器设计问题，并研究不同类别的解码器如何导致不同类型的受控物理系统。这个框架对为什么某些类型的解码器被证明比其他解码器性能更好产生了新的解释。这些结果对于理解运动神经元如何被招募来执行各种任务具有重要意义，并且可能有助于深入了解大脑概念化人工系统的能力。
With the goal of improving the quality of life for people suffering from various motor control disorders, brain-machine interfaces provide direct neural control of prosthetic devices by translating neural signals into control signals. These systems act by reading motor intent signals directly from the brain and using them to control, for example, the movement of a cursor on a computer screen. Over the past two decades, much attention has been devoted to the decoding problem: how should recorded neural activity be translated into the movement of the cursor? Most approaches have focused on this problem from an estimation standpoint, i.e., decoders are designed to return the best estimate of motor intent possible, under various sets of assumptions about how the recorded neural signals represent motor intent. Here we recast the decoder design problem from a physical control system perspective, and investigate how various classes of decoders lead to different types of physical systems for the subject to control. This framework leads to new interpretations of why certain types of decoders have been shown to perform better than others. These results have implications for understanding how motor neurons are recruited to perform various tasks, and may lend insight into the brain’s ability to conceptualize artificial systems.
影响因子：
2.5
作者：
Golub, Matthew D.;Yu, Byron M.;Chase, Steven M.
通讯作者：
Chase, Steven M.
影响因子：
2.5
作者：
Brockwell, AE;Rojas, AL;Kass, RE
通讯作者：
Kass, RE