1. Multi-day neuron tracking in high-density electrophysiology recordings using earth mover’s distance
- Author
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Augustine Xiaoran Yuan, Jennifer Colonell, Anna Lebedeva, Michael Okun, Adam S Charles, and Timothy D Harris
- Subjects
electrophysiology ,Neuropixels ,tracking ,single unit ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances in high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying the same neurons in multiple recordings is, however, complicated by non-rigid movement of the tissue relative to the recording sites (drift) and loss of signal from some neurons. Here, we propose a neuron tracking method that can identify the same cells independent of firing statistics, that are used by most existing methods. Our method is based on between-day non-rigid alignment of spike-sorted clusters. We verified the same cell identity in mice using measured visual receptive fields. This method succeeds on datasets separated from 1 to 47 days, with an 84% average recovery rate.
- Published
- 2024
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