ArticleeNeuro2024
Assessing Cross-Contamination in Spike-Sorted Electrophysiology Data.
Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- A multimodal approach for visualizing and identifying electrophysiological cell types in vivo.Nature communications · 2026Article
- Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Multidimensional visual feature encoding and functional organization in the pigeon entopallium.Zoological research · 2026Article
- A flexible quality metric for electrophysiological recordings across brain regions and species.bioRxiv : the preprint server for biology · 2026Article
- A multimodal approach for visualization and identification of electrophysiological cell typesbioRxiv : the preprint server for biology · 2025Article
- Separating cognitive and motor processes in the behaving mouse.Nature neuroscience · 2025Article
- Comparative analysis of spike-sorters in large-scale brainstem recordings.bioRxiv : the preprint server for biology · 2024Article
- Separating cognitive and motor processes in the behaving mouse.bioRxiv : the preprint server for biology · 2024Article
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2 authors.
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Abstract
Recent advances in extracellular electrophysiology now facilitate the recording of spikes from hundreds or thousands of neurons simultaneously. This has necessitated both the development of new computational methods for spike sorting and better methods to determine spike-sorting accuracy. One long-standing method of assessing the false discovery rate (FDR) of spike sorting-the rate at which spikes are assigned to the wrong cluster-has been the rate of interspike interval (ISI) violations. Despite their near ubiquitous usage in spike sorting, our understanding of how exactly ISI violations relate to FDR, as well as best practices for using ISI violations as a quality metric, remains limited. Here, we describe an analytical solution that can be used to predict FDR from the ISI violation rate (ISI
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.