Chris Halcrow

The paper introduces a modular framework for spike sorting that allows individual algorithmic steps to be benchmarked and optimized, improving performance on simulated data and matching real data results.

UnitRefine automates spike sorting curation using machine learning models trained on expert annotations, achieving human-level performance across species and datasets.