Evidence map›Paper›PMID 38602873›Full record

ArticleCell reports2024

Specific connectivity optimizes learning in thalamocortical loops.

Kaushik J Lakshminarasimhan, Marjorie Xie, Jeremy D Cohen, Britton A Sauerbrei, Adam W Hantman, Ashok Litwin-Kumar, Sean Escola

Abstract read
In one paragraph

Article in Cell reports, 2024. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Discovering plasticity rules that organize and maintain neural circuits.bioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. Review
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

7 authors.

Kaushik J LakshminarasimhanZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Marjorie XieZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Jeremy D CohenNeuroscience Center, University of North Carolina, Chapel Hill, NC 27559, USA.
Britton A SauerbreiDepartment of Neurosciences, Case Western Reserve University, Cleveland, OH 44106, USA.
Adam W HantmanNeuroscience Center, University of North Carolina, Chapel Hill, NC 27559, USA.
Ashok Litwin-KumarZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA. Electronic address: a.litwin-kumar@columbia.edu.
Sean EscolaDepartment of Psychiatry, Columbia University, New York, NY 10032, USA. Electronic address: sean@neurotheory.columbia.edu.

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSTA, RUI M. · 2017 to 2021
$15.3M
ADVANCED GRADUATE TRAINING PROGRAM IN THEORETICAL NEUROSCIENCET32NS064929 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Laurence F. Abbott, Roudabeh Behnia · 2009 to 2026
$2.9M
Deconstructing the roles of basal ganglia and cerebellum-related thalamic inputs to motor cortex during control of dexterous behaviorR01NS118030 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Adam Hantman · 2022 to 2026
$2.1M
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
NINDS NIH HHS R01 NS105349NINDS NIH HHS R01 NS118030NINDS NIH HHS T32 NS064929NINDS NIH HHS U19 NS104649
6 · The paper itself

Abstract

Thalamocortical loops have a central role in cognition and motor control, but precisely how they contribute to these processes is unclear. Recent studies showing evidence of plasticity in thalamocortical synapses indicate a role for the thalamus in shaping cortical dynamics through learning. Since signals undergo a compression from the cortex to the thalamus, we hypothesized that the computational role of the thalamus depends critically on the structure of corticothalamic connectivity. To test this, we identified the optimal corticothalamic structure that promotes biologically plausible learning in thalamocortical synapses. We found that corticothalamic projections specialized to communicate an efference copy of the cortical output benefit motor control, while communicating the modes of highest variance is optimal for working memory tasks. We analyzed neural recordings from mice performing grasping and delayed discrimination tasks and found corticothalamic communication consistent with these predictions. These results suggest that the thalamus orchestrates cortical dynamics in a functionally precise manner through structured connectivity.

Indexed as

LearningThalamusAnimalsCerebral CortexMaleMemory, Short-TermMiceMice, Inbred C57BLNeural PathwaysSynapsesbiologically plausible learningcorticothalamic feedbackCP: Neurosciencemeta-learningmotor learningrandom feedbackrecurrent neural networkthalamocortical loopthalamusworking memory

Identifiers

PMID38602873
PMCPMC11104520

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.