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  • 标题:Dataset of human intracranial recordings during famous landmark identification
  • 本地全文:下载
  • 作者:Oscar Woolnough ; Cihan M .Kadipasaoglu ; Christopher R .Conner
  • 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:1-7
  • DOI:10.1038/s41597-022-01125-8
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:For most people, recalling information about familiar items in a visual scene is an efortless task, but it is one that depends on coordinated interactions of multiple, distributed neural components . We leveraged the high spatiotemporal resolution of direct intracranial recordings to better delineate the network dynamics underpinning visual scene recognition . We present a dataset of recordings from a large cohort of humans while they identifed images of famous landmarks (50 individuals, 52 recording sessions, 6,775 electrodes, 6,541 trials) . This dataset contains local feld potential recordings derived from subdural and penetrating electrodes covering broad areas of cortex across both hemispheres . We provide this pre-processed data with behavioural metrics (correct/incorrect, response times) and electrode localisation in a population-normalised cortical surface space . This rich dataset will allow further investigation into the spatiotemporal progression of multiple neural processes underlying visual processing, scene recognition and cued memory recall .
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