Fraser George W, Chase Steven M, Whitford Andrew, Schwartz Andrew B
Department of Neurobiology, University of Pittsburgh, PA 15213, USA.
J Neural Eng. 2009 Oct;6(5):055004. doi: 10.1088/1741-2560/6/5/055004. Epub 2009 Sep 1.
Two rhesus monkeys were trained to move a cursor using neural activity recorded with silicon arrays of 96 microelectrodes implanted in the primary motor cortex. We have developed a method to extract movement information from the recorded single and multi-unit activity in the absence of spike sorting. By setting a single threshold across all channels and fitting the resultant events with a spline tuning function, a control signal was extracted from this population using a Bayesian particle-filter extraction algorithm. The animals achieved high-quality control comparable to the performance of decoding schemes based on sorted spikes. Our results suggest that even the simplest signal processing is sufficient for high-quality neuroprosthetic control.
两只恒河猴经过训练，可利用植入初级运动皮层的96个微电极硅阵列记录的神经活动来移动光标。我们开发了一种方法，可在不进行尖峰分类的情况下从记录的单单元和多单元活动中提取运动信息。通过在所有通道上设置单个阈值，并使用样条调谐函数拟合所得事件，利用贝叶斯粒子滤波提取算法从该群体中提取控制信号。这些动物实现了与基于分类尖峰的解码方案性能相当的高质量控制。我们的结果表明，即使是最简单的信号处理也足以实现高质量的神经假体控制。
