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Methods caveats and the future of large-scale microelectrode recordings in the non-human primate

机译:方法警告和非人类灵长类动物大规模微电极记录的未来

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摘要

Cognitive processes play out on massive brain-wide networks, which produce widely distributed patterns of activity. Capturing these activity patterns requires tools that are able to simultaneously measure activity from many distributed sites with high spatiotemporal resolution. Unfortunately, current techniques with adequate coverage do not provide the requisite spatiotemporal resolution. Large-scale microelectrode recording devices, with dozens to hundreds of microelectrodes capable of simultaneously recording from nearly as many cortical and subcortical areas, provide a potential way to minimize these tradeoffs. However, placing hundreds of microelectrodes into a behaving animal is a highly risky and technically challenging endeavor that has only been pursued by a few groups. Recording activity from multiple electrodes simultaneously also introduces several statistical and conceptual dilemmas, such as the multiple comparisons problem and the uncontrolled stimulus response problem. In this perspective article, we discuss some of the techniques that we, and others, have developed for collecting and analyzing large-scale data sets, and address the future of this emerging field.
机译:认知过程在庞大的全脑网络中发挥作用,从而产生广泛分布的活动模式。要捕获这些活动模式,就需要能够以高时空分辨率同时测量来自许多分布式站点的活动的工具。不幸的是,具有足够覆盖范围的当前技术不能提供必要的时空分辨率。大型微电极记录设备具有数十到数百个微电极,能够同时记录几乎所有皮层和皮层下区域,为减少这些折衷提供了一种可能的方式。但是,将数百个微电极放入行为动物中是一项极具风险和技术挑战性的工作,只有少数小组才追求。来自多个电极的记录活动同时也引入了一些统计和概念难题,例如多重比较问题和不受控制的刺激响应问题。在这篇观点文章中,我们讨论了我们和其他人为收集和分析大规模数据集而开发的一些技术,并探讨了这个新兴领域的未来。

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