{Reference Type}: Journal Article
{Title}: Multi-day neuron tracking in high-density electrophysiology recordings using earth mover's distance.
{Author}: Yuan AX;Colonell J;Lebedeva A;Okun M;Charles AS;Harris TD;
{Journal}: Elife
{Volume}: 12
{Issue}: 0
{Year}: 2024 Jul 10
{Factor}: 8.713
{DOI}: 10.7554/eLife.92495
{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.