Evidence map›Paper›PMID 33361766›Full record

ArticleNature communications2020

Remembrance of things practiced with fast and slow learning in cortical and subcortical pathways.

James M Murray, G Sean Escola

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  8. Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron.Advances in neural information processing systems · 2024
    Article
  9. Article
  10. Recall tempo of Hebbian sequences depends on the interplay of Hebbian kernel with tutor signal timing.Proceedings of the National Academy of Sciences of the United States of America · 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 2 institutions in 1 country.

James M MurrayZuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, 10027, USA. jmurray9@uoregon.edu.ORCID 0000-0003-3706-4895
G Sean EscolaZuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, 10027, USA.ORCID 0000-0003-0645-1964
Columbia University · USUniversity of Oregon · US

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSTA, RUI M. · 2017 to 2021
$15.3M
The internal states of neural circuits: data analysis, modeling, and diseaseDP5OD019897 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ESCOLA, GARY SEAN · 2014 to 2018
$2.0M
CRCNS: Refining computational models of motor sequence learning and executionR01NS105349 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ESCOLA, GARY SEAN, OLVECZKY, BENCE P · 2017 to 2021
$1.7M
Reinforcement learning and action sequencing in subcortical and cortical circuitsR00NS114194 · NINDS · UNIVERSITY OF OREGON · PI MURRAY, JAMES · 2021 to 2023
$747k
Reinforcement learning and action sequencing in subcortical and cortical circuitsK99NS114194 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MURRAY, JAMES · 2020 to 2020
$124k
NIH HHS DP5 OD019897NINDS NIH HHS K99 NS114194NINDS NIH HHS R00 NS114194NINDS NIH HHS R01 NS105349NINDS NIH HHS U19 NS104649
6 · The paper itself

Abstract

The learning of motor skills unfolds over multiple timescales, with rapid initial gains in performance followed by a longer period in which the behavior becomes more refined, habitual, and automatized. While recent lesion and inactivation experiments have provided hints about how various brain areas might contribute to such learning, their precise roles and the neural mechanisms underlying them are not well understood. In this work, we propose neural- and circuit-level mechanisms by which motor cortex, thalamus, and striatum support motor learning. In this model, the combination of fast cortical learning and slow subcortical learning gives rise to a covert learning process through which control of behavior is gradually transferred from cortical to subcortical circuits, while protecting learned behaviors that are practiced repeatedly against overwriting by future learning. Together, these results point to a new computational role for thalamus in motor learning and, more broadly, provide a framework for understanding the neural basis of habit formation and the automatization of behavior through practice.

Indexed as

LearningBehaviorCerebral CortexComputer SimulationHumansMental RecallModels, NeurologicalNeural PathwaysNeuronsReinforcement, PsychologyTask Performance and Analysis

Identifiers

PMID33361766
PMCPMC7758336
OpenAlexW3113864970

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.