Evidence map›Paper›PMID 32648042›Full record

ArticleNeuroinformatics2021

MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity.

Alessio Paolo Buccino, Gaute Tomas Einevoll

Abstract read
In one paragraph

Article in Neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Spatial richness of neural magnetic fields.PLoS computational biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. AECuration: automated event curation for spike sorting.Journal of neural engineering · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Spike sorting with Kilosort4.Nature methods · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alessio Paolo BuccinoCentre for Integrative Neuroplasticity (CINPLA), University of Oslo, Oslo, Norway. alessiob@ifi.uio.no.ORCID 0000-0003-3661-527X
Gaute Tomas EinevollCentre for Integrative Neuroplasticity (CINPLA), University of Oslo, Oslo, Norway.ORCID 0000-0002-5425-5012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When recording neural activity from extracellular electrodes, both in vivo and in vitro, spike sorting is a required and very important processing step that allows for identification of single neurons' activity. Spike sorting is a complex algorithmic procedure, and in recent years many groups have attempted to tackle this problem, resulting in numerous methods and software packages. However, validation of spike sorting techniques is complicated. It is an inherently unsupervised problem and it is hard to find universal metrics to evaluate performance. Simultaneous recordings that combine extracellular and patch-clamp or juxtacellular techniques can provide ground-truth data to evaluate spike sorting methods. However, their utility is limited by the fact that only a few cells can be measured at the same time. Simulated ground-truth recordings can provide a powerful alternative mean to rank the performance of spike sorters. We present here MEArec, a Python-based software which permits flexible and fast simulation of extracellular recordings. MEArec allows users to generate extracellular signals on various customizable electrode designs and can replicate various problematic aspects for spike sorting, such as bursting, spatio-temporal overlapping events, and drifts. We expect MEArec will provide a common testbench for spike sorting development and evaluation, in which spike sorting developers can rapidly generate and evaluate the performance of their algorithms.

Indexed as

AlgorithmsComputer SimulationModels, NeurologicalSignal Processing, Computer-AssistedAction PotentialsAnimalsElectrophysiologyNeuronsSoftwareBenchmark dataExtracellular recordings simulatorOpen-source softwareSpike sorting testbench

Identifiers

PMID32648042
PMCPMC7782412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.