ArticleeLife2020
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Article
- Article
- Article
- Efficient and reproducible pipelines for spike sorting large-scale electrophysiology data.eLife · 2026Article
- KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- Hybrid knowledge- and data-driven modelling for robust spike detection and sorting in human C-fiber microneurography.Scientific reports · 2026Article
- The Human Insula Reimagined: Single Neurons Respond to Simple Sounds during Passive Listening.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- High performance sorting of motor unit action potentials with EMUsort.bioRxiv : the preprint server for biology · 2026Article
- Bridging Model and Experiment in Systems Neuroscience with Cleo: The Closed-Loop, Electrophysiology, and Optophysiology Simulation Testbed.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neurodatascience: Past, Present, and Future.Data science in science · 2026Article
- Hippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brain.Neuron · 2025Article
- Flexible Use of Limited Resources for Sequence Working Memory in Macaque Prefrontal Cortex.Nature communications · 2025Article
- A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip with Event-Driven Detection and Spatial Clustering.IEEE journal of solid-state circuits · 2025Article
- A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting.Nature communications · 2025Article
- Article
- A Study of Non-Linear Manifold Feature Extraction in Spike Sorting.Neuroinformatics · 2025Article
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Article
2 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spike sorting is a crucial step in electrophysiological studies of neuronal activity. While many spike sorting packages are available, there is little consensus about which are most accurate under different experimental conditions. SpikeForest is an open-source and reproducible software suite that benchmarks the performance of automated spike sorting algorithms across an extensive, curated database of ground-truth electrophysiological recordings, displaying results interactively on a continuously-updating website. With contributions from eleven laboratories, our database currently comprises 650 recordings (1.3 TB total size) with around 35,000 ground-truth units. These data include paired intracellular/extracellular recordings and state-of-the-art simulated recordings. Ten of the most popular spike sorting codes are wrapped in a Python package and evaluated on a compute cluster using an automated pipeline. SpikeForest documents community progress in automated spike sorting, and guides neuroscientists to an optimal choice of sorter and parameters for a wide range of probes and brain regions.
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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.