A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.

A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.
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DOI:
10.1038/s41551-020-0591-0
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发表时间:
2020-10
影响因子:
28.1
通讯作者:
Chestek CA
Chestek CA
中科院分区:
工程技术1区
文献类型:
--
作者:
Nason SR;Vaskov AK;Willsey MS;Welle EJ;An H;Vu PP;Bullard AJ;Nu CS;Kao JC;Shenoy KV;Jang T;Kim HS;Blaauw D;Patil PG;Chestek CA

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当前脑机接口的大功率需求是其临床转化的主要障碍。在基本的行为任务中,尖峰活动的300- 1000 Hz频带的下采样幅度可以预测运动,类似于每秒30千个样本的阈值交叉率(TCR)。然而,这样的尖峰带功率(SBP)和神经活动之间的关系仍然不清楚,因为使用SBP解码复杂的行为的能力。通过使用模拟的神经活动的记录,在这里,我们表明,SBP是占主导地位的局部单单位尖峰的空间特异性相媲美或优于TCR的,和SBP的相关性更好的发射率较低的信号噪声比单位比TCR。对于非人类灵长类动物,在涉及手指组运动的一维解码的在线任务和离线二维光标控制任务中,SBP的表现与TCR一样好或更好。SBP可以增强神经接口的解码性能,同时能够大幅降低功耗。
The large power requirement of current brain-machine interfaces is a major hindrance to their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300-1,000 Hz band of spiking activity can predict movement similarly to the threshold crossing rate (TCR) at 30 kilo-samples per second. However, the relationship between such a spiking-band power (SBP) and neural activity remains unclear, as does the capability of using the SBP to decode complicated behaviour. By using simulations of recordings of neural activity, here we show that the SBP is dominated by local single-unit spikes with spatial specificity comparable to or better than that of the TCR, and that the SBP correlates better with the firing rates of lower signal-to-noise-ratio units than the TCR. With non-human primates, in an online task involving the one-dimensional decoding of the movement of finger groups and in an offline two-dimensional cursor-control task, the SBP performed equally well or better than the TCR. The SBP may enhance the decoding performance of neural interfaces while enabling substantial cuts in power consumption.
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