ArticleNature methods2024
Spike sorting with Kilosort4.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 251 papers.
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251 citing papers in PubMed.
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- Repeatable, low-drift recordings in behaving nonhuman primates using flexible microelectrodes.Nature communications · 2026Article
- In vivo magnetic recording of neuronal action potentials using a differential TMR magnetrode.Microsystems & nanoengineering · 2026Article
- Dentate gyrus interneurons modulate winner-take-all network dynamics in freely behaving mice.Neuron · 2026Article
- Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Loss of schizophrenia risk gene XPO7 disrupts neuronal excitability and network regularity via altered NaMolecular psychiatry · 2026Article
191 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Spike sorting is the computational process of extracting the firing times of single neurons from recordings of local electrical fields. This is an important but hard problem in neuroscience, made complicated by the nonstationarity of the recordings and the dense overlap in electrical fields between nearby neurons. To address the spike-sorting problem, we have been openly developing the Kilosort framework. Here we describe the various algorithmic steps introduced in different versions of Kilosort. We also report the development of Kilosort4, a version with substantially improved performance due to clustering algorithms inspired by graph-based approaches. To test the performance of Kilosort, we developed a realistic simulation framework that uses densely sampled electrical fields from real experiments to generate nonstationary spike waveforms and realistic noise. We found that nearly all versions of Kilosort outperformed other algorithms on a variety of simulated conditions and that Kilosort4 performed best in all cases, correctly identifying even neurons with low amplitudes and small spatial extents in high drift conditions.
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