SynthesiseLife2020
SpikeInterface, a unified framework for spike sorting.
Synthesis in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
204 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- DNMT1 function in cortical PV interneurons modulates cortical network activity, mood disorder‑related behavior, and perineuronal nets.Communications biology · 2026Article
- Bringing cellular clarity to the cortical component of ALS with a high-density multi-electrode array system.The FEBS journal · 2026Review
- Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.Nature neuroscience · 2026Article
- Article
- Anesthesia unconsciousness recruits dynamic parabrachial activity within a distributed brain-wide ensemble.bioRxiv : the preprint server for biology · 2026Article
- Article
- 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
- Article
- The default mode network exhibits circuit-specific selective vulnerability despite widespread amyloid burden in an animal model of Alzheimer's disease.Nature communications · 2026Article
- Density-based longitudinal neuron tracking in high-density electrophysiological recordings.Patterns (New York, N.Y.) · 2026Article
- Thalamocortical bursts encode reward contingencies and drive associative learning.Nature communications · 2026Article
- A computational model of altered neuronal activity in altered gravity.NPJ microgravity · 2026Article
- Efficient and reproducible pipelines for spike sorting large-scale electrophysiology data.eLife · 2026Article
- Subspace reverse-correlation estimation of receptive fields during free viewing.Journal of vision · 2026Article
- Triple-N dataset: large-scale fMRI-guided dense recordings of nonhuman primate neural responses to natural scenes.Nature neuroscience · 2026Article
- Induction of cortical on/off periods in awake mice fulfills sleep functions.Nature neuroscience · 2026Article
- Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients.Scientific data · 2026Article
- Spatial and temporal representations are organized along a stable coding gradient in the medial entorhinal cortex.bioRxiv : the preprint server for biology · 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
144 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
7 authors.
Funding
Abstract
Much development has been directed toward improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders rigorous benchmarking and complicates reproducible analysis. To address these limitations, we developed SpikeInterface, a Python framework designed to unify preexisting spike sorting technologies into a single codebase and to facilitate straightforward comparison and adoption of different approaches. With a few lines of code, researchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-process, post-process, and visualize extracellular datasets; validate, curate, and export sorting outputs; and more. In this paper, we provide an overview of SpikeInterface and, with applications to real and simulated datasets, demonstrate how it can be utilized to reduce the burden of manual curation and to more comprehensively benchmark automated spike sorters.
Indexed as
Identifiers
What OpenQuestion holds
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.