Charlie Windolf

Opening the black box: a modular approach to spike sorting

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.

DREDge: robust motion correction for high-density extracellular recordings across species

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

In vivo cell-type and brain region classification via multimodal contrastive learning

This paper introduces NEMO, a multimodal contrastive learning method for classifying cell types and brain regions from electrophysiological data, achieving state-of-the-art results on two opto-tagged datasets and the International Brain Laboratory Brain-wide Map dataset.

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

This paper introduces a spike sorting-free decoding method using density-based modeling to improve neural decoding performance without explicitly clustering spikes.

Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

DARTsort: A modular drift tracking spike sorter for high-density multi-electrode probes

DARTsort improves spike sorting by incorporating drift tracking, outperforming Kilosort 2.5 on simulated data with drift and noise.

A modular approach to handle in-vivo drift correction for high-density extracellular recordings

This paper benchmarks motion correction algorithms for high-density extracellular recordings to evaluate their effectiveness in handling mechanical drifts during spike sorting.

Robust online multiband drift estimation in electrophysiology data

This paper introduces DREDge, an algorithm for robust online drift estimation in electrophysiology data, improving scalability and temporal resolution for human and mouse recordings.