Evidence map›Paper›PMID 34592168›Full record

ArticleNeuron2021

CellExplorer: A framework for visualizing and characterizing single neurons.

Peter C Petersen, Joshua H Siegle, Nicholas A Steinmetz, Sara Mahallati, György Buzsáki

Abstract read
In one paragraph

Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
–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

98 citing papers in PubMed.

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  20. Long-Term Memory Updating Parallels Altered Awake and Sleep Hippocampal Replays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Peter C PetersenNeuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA. Electronic address: petersen.peter@gmail.com.
Joshua H SiegleMindScope Program, Allen Institute, 615 Westlake Avenue North, Seattle, WA 98109, USA.
Nicholas A SteinmetzDepartment of Biological Structure, University of Washington, Seattle, WA 98195, USA.
Sara MahallatiInstitute of Biomedical Engineering, Krembil Research Institute, University of Toronto, Toronto, ON M5T 1M8, Canada.
György BuzsákiNeuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA. Electronic address: gyorgy.buzsaki@nyulangone.org.

Funding

U19 Supplement 2023-FroemkeU19NS107616 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Adam Christopher Mar · 2018 to 2026
$36.4M
Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory ReplayU19NS104590 · NINDS · STANFORD UNIVERSITY · PI SOLTESZ, IVAN · 2017 to 2021
$13.2M
Transformation of Neuronal Activity in the Entorhinal-hippocampal-neocortex PathR01MH122391 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA, BUZSAKI, GYORGY · 2020 to 2024
$3.3M
NIMH NIH HHS R01 MH122391NINDS NIH HHS U19 NS104590NINDS NIH HHS U19 NS107616
6 · The paper itself

Abstract

The large diversity of neuron types provides the means by which cortical circuits perform complex operations. Neuron can be described by biophysical and molecular characteristics, afferent inputs, and neuron targets. To quantify, visualize, and standardize those features, we developed the open-source, MATLAB-based framework CellExplorer. It consists of three components: a processing module, a flexible data structure, and a powerful graphical interface. The processing module calculates standardized physiological metrics, performs neuron-type classification, finds putative monosynaptic connections, and saves them to a standardized, yet flexible, machine-readable format. The graphical interface makes it possible to explore the computed features at the speed of a mouse click. The framework allows users to process, curate, and relate their data to a growing public collection of neurons. CellExplorer can link genetically identified cell types to physiological properties of neurons collected across laboratories and potentially lead to interlaboratory standards of single-cell metrics.

Indexed as

Neuronselectrophysiologyextracellular electrodesframeworkgraphical interfacesingle cell analysisstandardized processing and data structure

Identifiers

PMID34592168
PMCPMC8602784

What OpenQuestion holds

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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.