Journal
SCIENTIFIC DATA
Volume 7, Issue 1, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-020-0415-9
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Funding
- National Institute of Neurological Disorders and Stroke [U01NS103792]
- National Science Foundation [1554105]
- National Institute of Mental Health [R01MH110831]
- McKnight Endowment for Neuroscience
- NARSAD Young Investigator grant from the Brain & Behavior Research Foundation
- Kavli Foundation
- BRAIN initiative [U19 NS104590]
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [1554105] Funding Source: National Science Foundation
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A challenge for data sharing in systems neuroscience is the multitude of different data formats used. Neurodata Without Borders: Neurophysiology 2.0 (NWB:N) has emerged as a standardized data format for the storage of cellular-level data together with meta-data, stimulus information, and behavior. A key next step to facilitate NWB:N adoption is to provide easy to use processing pipelines to import/export data from/to NWB:N. Here, we present a NWB-formatted dataset of 1863 single neurons recorded from the medial temporal lobes of 59 human subjects undergoing intracranial monitoring while they performed a recognition memory task. We provide code to analyze and export/import stimuli, behavior, and electrophysiological recordings to/from NWB in both MATLAB and Python. The data files are NWB:N compliant, which affords interoperability between programming languages and operating systems. This combined data and code release is a case study for how to utilize NWB:N for human single-neuron recordings and enables easy re-use of this hard-to-obtain data for both teaching and research on the mechanisms of human memory.
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