RT-Sort: An action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies.

Autor:	van der Molen T; Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, United States of America.; Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, California, United States of America., Lim M; Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, United States of America.; Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, California, United States of America., Bartram J; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland., Cheng Z; Department of Computer Science, University of California Santa Barbara, Santa Barbara, California, United States of America., Robbins A; Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America., Parks DF; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America., Petzold LR; Department of Computer Science, University of California Santa Barbara, Santa Barbara, California, United States of America., Hierlemann A; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland., Haussler D; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America.; Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, California, United States of America.; UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, California, United States of America., Hansma PK; Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, United States of America.; Department of Physics, University of California Santa Barbara, Santa Barbara, California, United States of America., Tovar KR; Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, United States of America., Kosik KS; Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, United States of America.; Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, California, United States of America.
Jazyk:	angličtina
Zdroj:	PloS one [PLoS One] 2024 Dec 05; Vol. 19 (12), pp. e0312438. Date of Electronic Publication: 2024 Dec 05 (Print Publication: 2024).
DOI:	10.1371/journal.pone.0312438
Abstrakt:	With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials of individual neurons can now be reliably detected on multiple adjacent recording electrodes. Spike sorting assigns these signals to putative neural sources. However, until now, spike sorting can only be performed after completion of the recording, preventing true real time usage of spike sorting algorithms. Utilizing the unique propagation patterns of action potentials along axons detected as high-fidelity sequential activations on adjacent electrodes, together with a convolutional neural network-based spike detection algorithm, we introduce RT-Sort (Real Time Sorting), a spike sorting algorithm that enables the sorted detection of action potentials within 7.5ms±1.5ms (mean±STD) after the waveform trough while the recording remains ongoing. RT-Sort's true real-time spike sorting capabilities enable closed loop experiments with latencies comparable to synaptic delay times. We show RT-Sort's performance on both Multi-Electrode Arrays as well as Neuropixels probes to exemplify RT-Sort's functionality on different types of recording hardware and electrode configurations. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 van der Molen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze:	MEDLINE
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