Cited by 254Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits

Open access
Cardin, Jessica A.·2018·Trends in Neurosciences

Abstract

GABAergic interneurons, which are highly diverse, have long been thought to contribute to the timing of neural activity as well as to the generation and shaping of brain rhythms. GABAergic activity is crucial not only for entrainment of oscillatory activity across a neural population, but also for precise regulation of the timing of action potentials and the suppression of slow-timescale correlations. The diversity of inhibition provides the potential for flexible regulation of patterned activity, but also poses a challenge to identifying the elements of excitatory-inhibitory interactions underlying network engagement. This review highlights the key roles of inhibitory interneurons in spike correlations and brain rhythms, describes several scales on which GABAergic inhibition regulates timing in neural networks, and identifies potential consequences of inhibitory dysfunction.

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 · 10.1016/j.tins.2018.07.015

Cites

134 of 134 references verified0 citation errors · 0 not checkable

Statistics

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

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?

  • Inhibitory interneurons regulate network oscillations, which synchronize neuronal activity to rhythms that are crucial to learning and memory.

    “Inhibitory interneurons regulate network oscillations, which synchronize neuronal activity to rhythms that are crucial to learning and memory [112–116].”

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [120]Rossignol E (2013) CaV 2.1 ablation in cortical interneurons selectively impairs fastspiking basket cells and causes generalized seizures. Ann Neurol 74 (2), 209– 22. 23595603 PMC3849346

Cited by

Sorted by citations

Authors
Cardin, J. A.
Affiliations
Yale University (US)
Corresponding author
Cardin, Jessica A.
Venue
Trends in Neurosciences
Publisher
Elsevier BV
Published
2018-10
Volume
41
Issue
10
Pages
689-700
ISSN
0166-2236 (ISSN-L)
OpenAlex
W2894521163
Cited by
254
References
134
Citations by year
2026: 25 · 2025: 45 · 2024: 43 · 2023: 21 · 2022: 26 · 2021: 36 · 2020: 30 · 2019: 23 · 2018: 5
FWCI
3.15
Type
journal article
Language
en
Open access
Locations
  • Trends in Neurosciences (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (R01 MH102365, R01 EY022951, R01 MH113852)
  • Ludwig Family Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
GABAergic interneurons, inhibitory interneurons, spike timing, spike correlation, neural oscillations, excitatory-inhibitory interactions, cortical circuits, neural entrainment, inhibitory dysfunction
MeSH terms
Action Potentials, Animals, Humans, Interneurons, Models, Neurological, Nerve Net, Neural Inhibition, Synapses

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