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Dataset of human medial temporal lobe single neuron activity during declarative memory encoding and recognition

机译:声明性记忆编码和识别过程中人类内侧颞叶单神经元活动的数据集

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We present a dataset of 1,576 single neurons recorded from the human amygdala and hippocampus in 65 sessions from 42 patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a recognition memory task with pictures as stimuli. Subjects were asked to identify whether they had seen a particular image the first time (‘new’) or second time (‘old’) on a 1–6 confidence scale. This comprehensive dataset includes the spike times of all neurons and their extracellular waveforms, behavior, electrode locations determined from post-operative MRI scans, demographics, and the stimuli shown. As technical validation, we provide spike sorting quality metrics and assessment of tuning of cells to verify the presence of visually-and memory selective cells. We also provide analysis code that reproduces key scientific findings published previously on a smaller version of this dataset. Together, this large dataset will facilitate the investigation of the neural mechanism of declarative memory by providing a substantial number of hard to obtain human single-neuron recordings during a well characterized behavioral task.
机译:我们提供了从人类杏仁核和海马中记录的1,576个单神经元的数据集,该数据来自于42个正在接受颅内监测癫痫发作局部监测的患者的65个疗程中。受试者以图片作为刺激执行识别记忆任务。要求受试者确定他们是在1-6置信等级上是第一次(“新”)还是第二次(“旧”)看到了特定图像。这个全面的数据集包括所有神经元的尖峰时间及其细胞外波形,行为,根据术后MRI扫描确定的电极位置,人口统计学和所示的刺激。作为技术验证,我们提供尖峰分选质量指标和细胞调整评估,以验证视觉和记忆选择性细胞的存在。我们还提供了分析代码,可复制以前在此数据集的较小版本上发布的关键科学发现。在一起,这个大数据集将通过提供大量难以描述的行为任务期间难以获得的人类单神经元记录来促进声明性记忆的神经机制的研究。

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