Shaved chimpanzee screwed1/6/2024 ![]() ![]() Several challenges need to be addressed: electrode implantation requires access to the brain through a craniotomy (or several craniotomies) in the skull, limiting the number of recording sites and their spatial distribution. However, ultra-high-channel-count electrophysiological recording techniques have yet to become widely adopted in non-human primates. Recent advances in ultra-high-density electrode fabrication and surgical implantation have spurred a surge in large-scale, multichannel recordings in rodents 19, 20, including from multiple brain regions. They have also been observed in motor cortex 8, 18 and in areas responsible for higher cognitive functions, such as the prefrontal cortex 8, 18 and the parietal cortex 8, 10. Using both depth electrode recording 1, 2, 3, 4, 5, 6 and non-invasive brain imaging 7, 8, 9, 10, 11, 12, 13 techniques, a wealth of studies have shown that even in the absence of sensory input from the external environment, certain brain regions tend to share correlated patterns of neuronal activity, known as ‘resting state correlations.’ Such correlations have been observed across multiple sensory areas, such as auditory cortex 14, visual cortex 1, 2, 5, 9, 11, 13, 15, 16, and somatosensory cortex 6, 8, 17, 18. 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. ![]() Such signals could be used to observe brain waves across larger regions of cortex, offering a temporally detailed picture of brain activity. 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. 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. 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. ![]()
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