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

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.

我们构建了一套数据集，涵盖42名因定位癫痫发作病灶接受颅内监测的患者，在65次记录会话中采集自人类杏仁核与海马体的1576个单个神经元活动记录。受试者在实验中完成以图片为刺激物的再认记忆任务：要求受试者基于1至6级信心量表，判断特定图片是首次呈现（‘新异’）还是再次呈现（‘熟悉’）。该完整数据集包含所有神经元的锋电位时刻、细胞外动作电位波形、行为数据、经术后MRI扫描确定的电极位置、受试者人口统计学信息，以及实验所用的全部刺激图片。作为技术验证环节，我们提供了锋电位分选（spike sorting）质量评估指标，以及神经元调谐特性分析方法，以确认视觉选择性与记忆选择性神经元的存在。此外，我们还提供了分析代码，可复现此前基于该数据集的小型版本发表的关键科学研究结论。综上，这套大规模数据集提供了大量在经过充分表征的行为任务中采集的人类单个神经元记录（这类数据极难获取），将助力陈述性记忆（declarative memory）的神经机制研究。