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  • 标题:Electrophysiological dataset from macaque visual cortical area MST in response to a novel motion stimulus
  • 本地全文:下载
  • 作者:Benedict Wild ; Amr Maamoun ; Yifan Mayr
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-10
  • DOI:10.1038/s41597-022-01239-z
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Establishing the cortical neural representation of visual stimuli is a central challenge of systems neuroscience . Publicly available data would allow a broad range of scientifc analyses and hypothesis testing, but are rare and largely focused on the early visual system . To address the shortage of open data from higher visual areas, we provide a comprehensive dataset from a neurophysiology study in macaque monkey visual cortex that includes a complete record of extracellular action potential recordings from the extrastriate medial superior temporal (MST) area, behavioral data, and detailed stimulus records . It includes spiking activity of 172 single neurons recorded in 139 sessions from 4 hemispheres of 3 rhesus macaque monkeys . The data was collected across 3 experiments, designed to characterize the response properties of MST neurons to complex motion stimuli . This data can be used to elucidate visual information processing at the level of single neurons in a high-level area of primate visual cortex . Providing open access to this dataset also promotes the 3R-principle of responsible animal research.
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