Evidence map›Paper›PMID 34595361›Full record

ArticleCurrent opinion in physiology2021

A leg to stand on: computational models of proprioception.

Chris J Dallmann, Pierre Karashchuk, Bingni W Brunton, John C Tuthill

Abstract read
In one paragraph

Article in Current opinion in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  9. Review
  10. Article
  11. A Whole-Body Musculoskeletal Model of the Mouse.IEEE access : practical innovations, open solutions · 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

4 authors.

Chris J DallmannDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
Pierre KarashchukNeuroscience Graduate Program, University of Washington, Seattle, WA, USA.
Bingni W BruntonDepartment of Biology, University of Washington, Seattle, WA, USA.
John C TuthillDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, USA.

Funding

Project 4: Neural Basis of Behavioral SequencesU19NS104655 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WILSON, RACHEL · 2017 to 2021
$14.6M
Neural coding of leg proprioceptionR01NS102333 · NINDS · UNIVERSITY OF WASHINGTON · PI John Tuthill · 2017 to 2026
$3.6M
NINDS NIH HHS R01 NS102333NINDS NIH HHS U19 NS104655
6 · The paper itself

Abstract

Dexterous motor control requires feedback from proprioceptors, internal mechanosensory neurons that sense the body's position and movement. An outstanding question in neuroscience is how diverse proprioceptive feedback signals contribute to flexible motor control. Genetic tools now enable targeted recording and perturbation of proprioceptive neurons in behaving animals; however, these experiments can be challenging to interpret, due to the tight coupling of proprioception and motor control. Here, we argue that understanding the role of proprioceptive feedback in controlling behavior will be aided by the development of multiscale models of sensorimotor loops. We review current phenomenological and structural models for proprioceptor encoding and discuss how they may be integrated with existing models of posture, movement, and body state estimation.

Identifiers

PMID34595361
PMCPMC8478261

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Registered trials

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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.