Abstract

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.

Highlights

  • Background & SummaryRapidly forming new memories and to later retrieve and describe these memories is an essential component of cognition

  • Much of the fundamental work to decipher the underlying mechanisms of declarative memory has relied on extracellular recordings of single neurons and local field potentials in animals implanted with electrodes5

  • It is important to develop a similar depth of understanding directly in humans because aspects of declarative memories are thought to be unique to humans and/or are challenging to study in animals6 or non-invasively in humans

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Summary

Background & Summary

Forming new memories and to later retrieve and describe these memories is an essential component of cognition. Much of the fundamental work to decipher the underlying mechanisms of declarative memory has relied on extracellular recordings of single neurons and local field potentials in animals implanted with electrodes. Much of the fundamental work to decipher the underlying mechanisms of declarative memory has relied on extracellular recordings of single neurons and local field potentials in animals implanted with electrodes5 While this has revealed an extensive body of knowledge, the corresponding mechanisms in humans remain, in comparison, relatively poorly understood for a lack of similar invasive brain access. Along with the neuronal recordings, we provide detailed behavioral data and technical validation of the quality of the isolated neurons Together, this large dataset of rare direct recordings from single neurons of behaving humans will allow investigators to explore the mechanisms of recognition memory at the single-neuron level. This dataset, which is an extended version with new data added (22 sessions are unpublished) of what was used in, has extensive reuse value by, for example, allowing direct tests of predictions made by memory models or by facilitating population-level analyses of neuronal dynamics that require hundreds of neurons to become feasible

Methods
AUC low confidence
Right Frontal Left Inferior Frontal Right Mesial Temporal
Images directory
People Spatial
Data Records
Hippocampus Amygdala
Technical Validation Behavior
Usage Notes Description of code provided
Author Contributions
Findings
Additional Information

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