Evidence map›Paper›PMID 24853945›Full record

ArticleNeuron2014

Plastic corollary discharge predicts sensory consequences of movements in a cerebellum-like circuit.

Tim Requarth, Nathaniel B Sawtell

Open access · bronzeAbstract read
In one paragraph

Article in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 49 citations in OpenAlex.

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  5. Learning within a sensory-motor circuit links action to expected outcome.bioRxiv : the preprint server for biology · 2024
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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

2 authors at 1 institution in 1 country.

Tim RequarthDepartment of Neuroscience and Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA.
Nathaniel B SawtellDepartment of Neuroscience and Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA. Electronic address: ns2635@columbia.edu.
Columbia University · US

Funding

Roles for Granule Cells in Adaptive Processing in a Cerebellum-like CircuitR01NS075023 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABBOTT, LAURENCE F., SAWTELL, NATHANIEL · 2012 to 2025
$5.8M
Neural mechanisms for sensory prediction in a cerebellum-like structureF31NS076334 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REQUARTH, TIM · 2011 to 2013
$126k
NINDS NIH HHS F31 NS076334NINDS NIH HHS F31NS076334NINDS NIH HHS R01 NS075023
6 · The paper itself

Abstract

The capacity to predict the sensory consequences of movements is critical for sensory, motor, and cognitive function. Though it is hypothesized that internal signals related to motor commands, known as corollary discharge, serve to generate such predictions, this process remains poorly understood at the neural circuit level. Here we demonstrate that neurons in the electrosensory lobe (ELL) of weakly electric mormyrid fish generate negative images of the sensory consequences of the fish's own movements based on ascending spinal corollary discharge signals. These results generalize previous findings describing mechanisms for generating negative images of the effects of the fish's specialized electric organ discharge (EOD) and suggest that a cerebellum-like circuit endowed with associative synaptic plasticity acting on corollary discharge can solve the complex and ubiquitous problem of predicting sensory consequences of movements.

Indexed as

AnimalsBiophysicsCalbindinsCerebellumDendritesElectric FishElectric OrganElectric StimulationFunctional LateralityMovementNerve FibersNerve NetNeuronal PlasticityNeuronsPatch-Clamp TechniquesCalbindins

Identifiers

PMID24853945
PMCPMC4032477
OpenAlexW2062351762

What OpenQuestion holds

Textmetadata
LicenceTDM
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.