Computational evaluation demonstrates automatic multichannel neural spike sorting for high-density probes, suggesting a viable framework for live recording analysis.
: The sorting of neural spike data recorded by multichannel and high channel neural probes such as Neuropixels, especially in real-time, remains a significant technical challenge. Most neural spike sorting algorithms focus on sorting neural spikes post-hoc for high sorting accuracy-but reducing the processing delay for fast sorting, potentially even live sorting, is generally not possible with these algorithms.
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Mohammadi et al. (2024) studied this question.
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