Department of Vision & Cognition, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA, Amsterdam, Netherlands.
Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany.
Sci Data. 2022 Mar 11;9(1):77. doi: 10.1038/s41597-022-01180-1.
Co-variations in resting state activity are thought to arise from a variety of correlated inputs to neurons, such as bottom-up activity from lower areas, feedback from higher areas, recurrent processing in local circuits, and fluctuations in neuromodulatory systems. Most studies have examined resting state activity throughout the brain using MRI scans, or observed local co-variations in activity by recording from a small number of electrodes. We carried out electrophysiological recordings from over a thousand chronically implanted electrodes in the visual cortex of non-human primates, yielding a resting state dataset with unprecedentedly high channel counts and spatiotemporal resolution. Such signals could be used to observe brain waves across larger regions of cortex, offering a temporally detailed picture of brain activity. In this paper, we provide the dataset, describe the raw and processed data formats and data acquisition methods, and indicate how the data can be used to yield new insights into the 'background' activity that influences the processing of visual information in our brain.
静息态活动的共变被认为是由神经元的各种相关输入引起的，例如来自较低区域的自上而下的活动、来自较高区域的反馈、局部回路中的递归处理以及神经调质系统的波动。大多数研究使用 MRI 扫描来检查整个大脑的静息态活动，或者通过记录少量电极来观察局部活动的共变。我们对非人类灵长类动物视觉皮层的一千多个慢性植入电极进行了电生理记录，产生了一个具有空前高通道计数和时空分辨率的静息态数据集。这些信号可用于观察更大的皮层区域的脑波，提供大脑活动的时间详细图像。在本文中，我们提供了数据集，描述了原始和处理后的数据格式以及数据采集方法，并指出如何使用这些数据产生新的见解，了解影响我们大脑中视觉信息处理的“背景”活动。
