Topic: neural clusters

Electrophysiological recordings capture signals from hundreds of neurons simultaneously, but isolating single-cell activity often requires manual curation due to limitations in spike- sorting algorithms. As dataset sizes grow, the time and expertise required for accurate and consistent human curation pose a major challenge for experimental labs. To address this issue, we developed UnitRefine, a classification toolbox that leverages diverse machine-learning algorithms to minimize manual curation efforts. Using acute recordings with Neuropixel probes, we collected a large neural dataset with hig