Cited by 242Neuroscience and Neuropharmacology ResearchSingle-cell and spatial transcriptomicsNeural dynamics and brain function

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index; 1 of the 112 sources its claims cite were checked for support.

The diversity of GABAergic neurons and neural communication elements

Open access
Huang, Z. Josh, Paul, Anirban·2019·Nature Reviews Neuroscience

Abstract

The phenotypic diversity of cortical GABAergic neurons is probably necessary for their functional versatility in shaping the spatiotemporal dynamics of neural circuit operations underlying cognition. Deciphering the logic of this diversity requires comprehensive analysis of multi-modal cell features and a framework of neuronal identity that reflects biological mechanisms and principles. Recent high-throughput single-cell analyses have generated unprecedented data sets characterizing the transcriptomes, morphology and electrophysiology of interneurons. We posit that cardinal interneuron types can be defined by their synaptic communication properties, which are encoded in key transcriptional signatures. This conceptual framework integrates multi-modal cell features, captures neuronal input–output properties fundamental to circuit operation and may advance understanding of the appropriate granularity of neuron types, towards a biologically grounded and operationally useful interneuron taxonomy. A major challenge in neuroscience is the definition of neuronal types. Here, Paul and Huang give an overview of efforts to classify GABAergic cell types, and propose a framework in which cell types are transcriptionally defined communication elements with characteristic input–output properties.

Overview

Integrity signals

Registry

Crossref · 10.1038/s41583-019-0195-4

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

70 Not checked yet · 54 Own interpretation · 19 No basis given · 1 Partly supported · accuracy not yet measured

Verify all 111 references — free account

Show all 74 claims

  • Probably not a substantial claim. 43
  • It may state two separate claims as one. 35
70 of 70
  • The paper relies on this without support.

    No single method currently exists for measuring I/O transformation.

    “There is currently no single method to measure I/O transformation.”
1 of 1

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 96 references

Research works printed but not linked: 1

  1. Cajal, S. R. Nuevo concepto de la histología de los centros nerviosos. Rev. Cienc. Med. Barc. 18, 361–376 (1892).

Cited by

Sorted by citations

Items 101–200 of 242

Metadata

Authors
Huang, Z. J., & Paul, A.
Affiliations
  • Cold Spring Harbor Laboratory (US)
  • Pennsylvania State University (US)
Corresponding author
Huang, Z. Josh
Venue
Nature Reviews Neuroscience
Published
2019-06-20
Volume
20
Issue
9
Pages
563-572
ISSN
  • 1471-003X (ISSN-L)
  • 1471-0048
OpenAlex
W2952995021
Cited by
201
References
96
Citations by year
2026: 12 · 2025: 22 · 2024: 35 · 2023: 26 · 2022: 30 · 2021: 41 · 2020: 31 · 2019: 4
FWCI
3.48
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
Funders
National Institute of Mental Health (R01MH109665, U19MH114821, R01MH101268)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
GABAergic neurons, cortical interneurons, neuronal cell types, gene expression signatures, neuronal identity, single-cell transcriptomics, neuronal morphology, electrophysiology, neural circuits, cognitive function
MeSH terms
Animals, Cell Communication, Cell Differentiation, Humans, Interneurons, GABAergic Neurons, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-07, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-07 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review