Multi-day neuron tracking in high-density electrophysiology recordings using earth mover’s distance

• DOI: 10.7554/elife.92495.3
• Publication Date: 2024-07-10T16:06:30Z
• Authors: Augustine Xiaoran...; Jennifer Colonell; Anna Lebedeva; Michael Okun; Adam S Charles; Timothy D Harris
• Keywords: Tracking (education); SIGNAL (programming language)

Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here, we propose neuron method that can identify cells independent firing statistics, are used most existing methods. Our based on between-day alignment spike-sorted clusters. We verified cell identity mice using measured visual receptive fields. This succeeds datasets separated 1 47 days, with an 84% average recovery rate.