Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 554

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Aspinous and sparsely-spinous stellate neurons in the visual cortex of rats contain glutamic acid decarboxylase

Open access
Ribak, Charles E.·1978·Journal of Neurocytology

Abstract

SummaryGlutamic acid decarboxylase (GAD), the enzyme that synthesizes the neurotransmitter γ-aminobutyric acid (GABA), has been localized in the rat visual cortex by immunocytochemical methods with both light and electron microscopy. In both colchicine-injected and non-injected preparations of the visual cortex, GAD-positive reaction product was observed in somata, proximal dendrites and axon terminals of non-pyramidal neurons. The GAD-positive terminals were observed to form symmetric synaptic junctions most commonly with dendritic shafts and somata of pyramidal and stellate neurons and less frequently with initial axon segments of pyramidal neurons and dendritic spines. In colchicine-injected preparations, GAD-positive somata were located in all cortical layers including the immediately subjacent white matter. In contrast, sections from non-injected rats displayed GAD-positive somata within a superficial and a deep cortical band. The GAD-positive somata observed in both types of preparations received both symmetric and asymmetric synaptic junctions, lacked apical dendrites, and had radially oriented dendrites of small diameter. These characteristics of GAD-positive neurons indicate that they are aspinous and sparsely-spinous stellate neurons. The localization of GAD within these neurons in combination with physiological and pharmacological data indicate that these local circuit neurons mediate GABA-ergic inhibition in the neocortex.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/bf01173991

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 554

Metadata

Authors
Ribak, C. E.
Venue
Journal of Neurocytology
Published
1978-08
Volume
7
Issue
4
Pages
461-478
ISSN
  • 0300-4864 (ISSN-L)
  • 1573-7381
OpenAlex
W2088776728
Cited by
554
References
3
FWCI
6.49
Type
journal article
Language
en
Open access
green

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.

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.