Biology

Spike sorting with Kilosort4

M. Pachitariu, S. Sridhar, et al.

Discover the cutting-edge Kilosort4 framework, developed by Marius Pachitariu and his team, which revolutionizes spike sorting in neuroscience. This new version leverages graph-based clustering for unparalleled accuracy in identifying neuron firing times, even in challenging conditions. Learn how it consistently outperforms existing algorithms in realistic simulations!

00:00

Playback language: English

Index

Abstract

Spike sorting, crucial in neuroscience, extracts single neuron firing times from local electrical field recordings. This is challenging due to recording non-stationarity and overlapping electrical fields. The Kilosort framework addresses this, and this paper details algorithmic steps across Kilosort versions. Kilosort4, a new version with improved performance using graph-based clustering, is presented. Realistic simulations, using densely sampled electrical fields from real experiments, were used to benchmark Kilosort against other algorithms. Kilosort4 consistently outperformed others, accurately identifying even low-amplitude, small spatial extent neurons under high drift conditions.

Publisher

Nature Methods

Published On

Apr 08, 2024

Authors

Marius Pachitariu, Shashwat Sridhar, Jacob Pennington, Carsen Stringer

Related Publications

Explore these studies to deepen your understanding of the subject.

Medicine and Health

Emergence and spread of a SARS-CoV-2 lineage A variant (A.23.1) with altered spike protein in Uganda

D. L. Bugembe, M. V. T. Phan, et al.

Psychology

Educational attainment reduces the risk of suicide attempt among individuals with and without psychiatric disorders independent of cognition: a bidirectional and multivariable Mendelian randomization study with more than 815,000 participants

D. B. Rosoff, Z. A. Kaminsky, et al.

Medicine and Health

Evaluation of care with intravitreal aflibercept treatment for UK patients with diabetic macular oedema: DRAKO study 24-month real-world outcomes

S. Sivaprasad, F. Ghanchi, et al.

Psychology

Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care

M. M. Maslej, S. Kloiber, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny