ReviewNature neuroscience2016
Improving data quality in neuronal population recordings.
Review in Nature neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
130 citing papers in PubMed.
- Extended field-of-view two-photon imaging in the deep brain of freely behaving mice using lightweight microfabricated corrective optics.Science advances · 2026Article
- Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Efficient and reproducible pipelines for spike sorting large-scale electrophysiology data.eLife · 2026Article
- Review
- Large-Scale Neural Recording Technologies for Investigating Circuit Dysfunction and Functional Biomarker Discovery in Animal Models of Alzheimer's Disease.International journal of molecular sciences · 2026Review
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- Article
- Optimizing electrode placement and information capacity for local field potentials in cortex.NeuroImage · 2026Article
- Rethinking the centrality of brain areas in understanding functional organization.Nature neuroscience · 2026Review
- Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordings.Microsystems & nanoengineering · 2026Article
- Robust minimally-invasive microfabricated stainless steel neural interfaces for high resolution recording.Nature communications · 2026Article
- Learning-dependent cholinergic plasticity reconfigures cortical circuit dynamics.bioRxiv : the preprint server for biology · 2025Article
- Efficient and reliable spike sorting from neural recordings with UMAP-based unsupervised nonlinear dimensionality reduction.PLoS biology · 2025Article
- Article
- Microelectrode Implantation in Human Insula: Technical Challenges and Recording Insights.Brain sciences · 2025Article
- Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings.Nature communications · 2025Article
- Article
- Compositional architecture: Orthogonal neural codes for task context and spatial memory in prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- Bio-inspired electronics: Soft, biohybrid, and "living" neural interfaces.Nature communications · 2025Review
- Article
70 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Understanding how the brain operates requires understanding how large sets of neurons function together. Modern recording technology makes it possible to simultaneously record the activity of hundreds of neurons, and technological developments will soon allow recording of thousands or tens of thousands. As with all experimental techniques, these methods are subject to confounds that complicate the interpretation of such recordings, and could lead to erroneous scientific conclusions. Here we discuss methods for assessing and improving the quality of data from these techniques and outline likely future directions in this field.
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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.