Evidence map›Paper›PMID 38531360›Full record

ArticleCurrent biology : CB2024

Learning leaves a memory trace in motor cortex.

Darby M Losey, Jay A Hennig, Emily R Oby, Matthew D Golub, Patrick T Sadtler, Kristin M Quick, Stephen I Ryu, Elizabeth C Tyler-Kabara, Aaron P Batista, Byron M Yu and 1 more

Abstract read
In one paragraph

Article in Current biology : CB, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Switching between Newly Learned Motor Skills.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
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  10. Article
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  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Darby M LoseyNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Jay A HennigNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Emily R ObyCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Matthew D GolubCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA.
Patrick T SadtlerCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Kristin M QuickCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Stephen I RyuDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Palo Alto Medical Foundation, Palo Alto, CA 94301, USA.
Elizabeth C Tyler-KabaraCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Neurosurgery, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA.
Aaron P BatistaCenter for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA. Electronic address: aaron.batista@pitt.edu.
Byron M YuNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Electronic address: byronyu@cmu.edu.
Steven M ChaseNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Electronic address: schase@andrew.cmu.edu.

Funding

Shaping Neural Population Dynamics to Facilitate LearningR01HD071686 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BATISTA, AARON PAUL, CHASE, STEVEN M · 2011 to 2021
$3.7M
Memory Formation in Motor CortexR01NS129584 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aaron Paul Batista, Steven M Chase · 2022 to 2026
$2.8M
Interrogating and Perturbing Neural DynamicsR01NS105318 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aaron Paul Batista, Steven M Chase · 2017 to 2026
$2.3M
CRCNS Research Proposal: Collaborative Research: Neural Basis of Motor ExpertiseR01NS120579 · NINDS · NORTHEASTERN UNIVERSITY · PI BATISTA, AARON PAUL, STERNAD, DAGMAR · 2020 to 2025
$2.0M
CRCNS: Modulating Neural Population Interactions between Cortical AreasR01MH118929 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A, YU, BYRON M. · 2018 to 2022
$1.7M
Multisensory Integration in Action: a Multineuronal and Feedback-Control ApproachR01HD090125 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BATISTA, AARON PAUL, LOUGHLIN, PATRICK J · 2017 to 2021
$1.7M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
Brain-wide neural population dynamics during decision making and learningR00MH121533 · NIMH · UNIVERSITY OF WASHINGTON · PI GOLUB, MATTHEW D. · 2023 to 2025
$747k
NIBIB NIH HHS R01 EB026953NICHD NIH HHS R01 HD071686NICHD NIH HHS R01 HD090125NIMH NIH HHS R00 MH121533NIMH NIH HHS R01 MH118929NINDS NIH HHS R01 NS105318NINDS NIH HHS R01 NS120579NINDS NIH HHS R01 NS129584
6 · The paper itself

Abstract

How are we able to learn new behaviors without disrupting previously learned ones? To understand how the brain achieves this, we used a brain-computer interface (BCI) learning paradigm, which enables us to detect the presence of a memory of one behavior while performing another. We found that learning to use a new BCI map altered the neural activity that monkeys produced when they returned to using a familiar BCI map in a way that was specific to the learning experience. That is, learning left a "memory trace" in the primary motor cortex. This memory trace coexisted with proficient performance under the familiar map, primarily by altering neural activity in dimensions that did not impact behavior. Forming memory traces might be how the brain is able to provide for the joint learning of multiple behaviors without interference.

Indexed as

Brain-Computer InterfacesMotor CortexBrainBrain MappingElectroencephalographyLearningbrain-computer interfacesdimensionality reductionlearningmemorymotor controlneural populations

Identifiers

PMID38531360
PMCPMC11097210

What OpenQuestion holds

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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.