ArticleeLife2024
Multi-day neuron tracking in high-density electrophysiology recordings using earth mover's distance.
Article in eLife, 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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Who cites it
9 citing papers in PubMed.
- Density-based longitudinal neuron tracking in high-density electrophysiological recordings.Patterns (New York, N.Y.) · 2026Article
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- Long-term neuron tracking reveals balance of stability and plasticity in functional properties.PloS one · 2026Article
- SLAy-ing oversplitting errors in high-density electrophysiology spike sorting.bioRxiv : the preprint server for biology · 2025Article
- Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Sleep need-dependent plasticity of a thalamic circuit promotes homeostatic recovery sleep.Science (New York, N.Y.) · 2025Article
- DREDge: robust motion correction for high-density extracellular recordings across species.Nature methods · 2025Article
- A human single-neuron dataset for object recognition.Scientific data · 2025Article
- DREDge: robust motion correction for high-density extracellular recordings across species.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances in high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying the same neurons in multiple recordings is, however, complicated by non-rigid movement of the tissue relative to the recording sites (drift) and loss of signal from some neurons. Here, we propose a neuron tracking method that can identify the same cells independent of firing statistics, that are used by most existing methods. Our method is based on between-day non-rigid alignment of spike-sorted clusters. We verified the same cell identity in mice using measured visual receptive fields. This method succeeds on datasets separated from 1 to 47 days, with an 84% average recovery rate.
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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.