Evidence map›Paper›PMID 25328550›Full record

ArticleThe open biomedical engineering journal2014

Quality metrics of spike sorting using neighborhood components analysis.

Xinyu Liu, Hong Wan, Li Shi

Open access · diamondAbstract read
In one paragraph

Article in The open biomedical engineering journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 85% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023
    Article
  3. Article
  4. Translational Organic Neural Interface Devices at Single Neuron Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  5. 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

3 authors at 1 institution in 1 country.

Xinyu LiuSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
Hong WanSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
Li ShiSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While an electrode has allowed for simultaneously recording the activity of many neurons in microelectrode extracellular recording techniques, quantitative metrics of cluster quality after sorting to identify clusters suited for single unit analysis are lacking. In this paper, an objective measure based on the idea of neighborhood component analysis was described for evaluating cluster quality of spikes. The proposed method was tested with experimental and simulated extracellular recordings as well as compared to isolation distance and L ratio. The results of simulation and real data from the rodent primary visual cortex have shown that values of the proposed method were related to the accuracy of spike sorting, which could discriminate well- and poorly-separated clusters. It can apply on any study based on the activity of single neurons.

Indexed as

Kolmogorov-Smirnov testneighborhood component analysisquantitative measurespike sortingwavelet transform.

Identifiers

PMID25328550
PMCPMC4200702
OpenAlexW2166559337

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.