Evidence map›Paper›PMID 33848473›Full record

ArticleNeuron2021

Multidimensional population activity in an electrically coupled inhibitory circuit in the cerebellar cortex.

Harsha Gurnani, R Angus Silver

Open access · hybridAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  6. GlyT2-Positive Interneurons Regulate Timing and Variability of Information Transfer in a Cerebellar-Behavioral Loop.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
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  10. Review
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  14. The Cerebellar Cortex.Annual review of neuroscience · 2022
    Review
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  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Harsha GurnaniDepartment of Neuroscience, Physiology, and Pharmacology, University College London, London WC1E 6BT, UK.
R Angus SilverDepartment of Neuroscience, Physiology, and Pharmacology, University College London, London WC1E 6BT, UK. Electronic address: a.silver@ucl.ac.uk.
University College London · GB

Funding

Wellcome Trust 203048Wellcome Trust 203048/Z/16/ZWellcome Trust 203734
6 · The paper itself

Abstract

Inhibitory neurons orchestrate the activity of excitatory neurons and play key roles in circuit function. Although individual interneurons have been studied extensively, little is known about their properties at the population level. Using random-access 3D two-photon microscopy, we imaged local populations of cerebellar Golgi cells (GoCs), which deliver inhibition to granule cells. We show that population activity is organized into multiple modes during spontaneous behaviors. A slow, network-wide common modulation of GoC activity correlates with the level of whisking and locomotion, while faster (<1 s) differential population activity, arising from spatially mixed heterogeneous GoC responses, encodes more precise information. A biologically detailed GoC circuit model reproduced the common population mode and the dimensionality observed experimentally, but these properties disappeared when electrical coupling was removed. Our results establish that local GoC circuits exhibit multidimensional activity patterns that could be used for inhibition-mediated adaptive gain control and spatiotemporal patterning of downstream granule cells.

Indexed as

Neural InhibitionAnimalsCerebellar Golgi CellsConnectomeMiceModels, NeurologicalNeural Pathwayscerebellar cortexdimensionalityelectrical couplinggain controlgap junctionsGolgi cellsinhibitioninhibitory interneuronspopulation codes

Identifiers

PMID33848473
PMCPMC8153252
OpenAlexW3156511978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.