Evidence map›Paper›PMID 33757352›Full record

ReviewProceedings. Biological sciences2021

Accounting for uncertainty: inhibition for neural inference in the cerebellum.

Ensor Rafael Palacios, Conor Houghton, Paul Chadderton

Open access · hybridAbstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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
  3. Article
  4. Article
  5. Article
  6. Cellular Conditions Responsible for Methylmercury-Mediated Neurotoxicity.International journal of molecular sciences · 2022
    Review
  7. Editorial: Information Processing in the Cerebellum.Frontiers in systems neuroscience · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ensor Rafael PalaciosSchool of Physiology Pharmachology and Neuroscience, University of Bristol, Bristol BS8 1TH, UK.
Conor HoughtonSchool of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Paul ChaddertonSchool of Physiology Pharmachology and Neuroscience, University of Bristol, Bristol BS8 1TH, UK.
University of Bristol · GB

Funding

Wellcome Trust 209453/Z/17/Z
6 · The paper itself

Abstract

Sensorimotor coordination is thought to rely on cerebellar-based internal models for state estimation, but the underlying neural mechanisms and specific contribution of the cerebellar components is unknown. A central aspect of any inferential process is the representation of uncertainty or conversely precision characterizing the ensuing estimates. Here, we discuss the possible contribution of inhibition to the encoding of precision of neural representations in the granular layer of the cerebellar cortex. Within this layer, Golgi cells influence excitatory granule cells, and their action is critical in shaping information transmission downstream to Purkinje cells. In this review, we equate the ensuing excitation-inhibition balance in the granular layer with the outcome of a precision-weighted inferential process, and highlight the physiological characteristics of Golgi cell inhibition that are consistent with such computations.

Indexed as

CerebellumNeural InhibitionCerebellar CortexNeuronsUncertaintygranule cell layerneural computationneural networkssensorimotorstate estimation

Identifiers

PMID33757352
PMCPMC8059656
OpenAlexW3138395815

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.