Evidence map›Paper›PMID 38520691›Full record

ArticleCell reports2024

Exploration biases forelimb reaching strategies.

Alice C Mosberger, Leslie J Sibener, Tiffany X Chen, Helio F M Rodrigues, Richard Hormigo, James N Ingram, Vivek R Athalye, Tanya Tabachnik, Daniel M Wolpert, James M Murray and 1 more

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Striatal ensembles specify and control granular forelimb actions.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Generalization inFrontiers in sports and active living · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Alice C MosbergerDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA. Electronic address: acm2246@columbia.edu.
Leslie J SibenerDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Tiffany X ChenDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Helio F M RodriguesDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Allen Institute, Seattle, WA 98109, USA.
Richard HormigoDepartment of Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
James N IngramDepartment of Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Vivek R AthalyeDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Tanya TabachnikDepartment of Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Daniel M WolpertDepartment of Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
James M MurrayInstitute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
Rui M CostaDepartments of Neuroscience and Neurology, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Allen Institute, Seattle, WA 98109, USA. Electronic address: rui.costa@alleninstitute.org.
Columbia University · USAllen Institute for Brain Science · 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
Reinforcement learning and action sequencing in subcortical and cortical circuitsR00NS114194 · NINDS · UNIVERSITY OF OREGON · PI MURRAY, JAMES · 2021 to 2023
$747k
Dissecting the role of cortico-basal ganglia circuit diversity in action learning from reinforcementK99NS126307 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOSBERGER, ALICE · 2022 to 2023
$272k
Connectivity Principles Underlying Network Dynamics and LearningK99NS128250 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ATHALYE, VIVEK · 2022 to 2023
$251k
Unraveling constraints on motor cortical activity exploration and shaping during structural skill learning using large-scale 2-photon imaging and holographic optogenetic stimulationF32MH118714 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ATHALYE, VIVEK · 2018 to 2020
$203k
Dissecting the role of thalamostriatal circuits in flexible versus automatized motor skill executionF31NS111853 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIBENER, LESLIE J · 2019 to 2021
$137k
NIMH NIH HHS F32 MH118714NINDS NIH HHS F31 NS111853NINDS NIH HHS K99 NS126307NINDS NIH HHS K99 NS128250NINDS NIH HHS R00 NS114194NINDS NIH HHS U19 NS104649
6 · The paper itself

Abstract

The brain can generate actions, such as reaching to a target, using different movement strategies. We investigate how such strategies are learned in a task where perched head-fixed mice learn to reach to an invisible target area from a set start position using a joystick. This can be achieved by learning to move in a specific direction or to a specific endpoint location. As mice learn to reach the target, they refine their variable joystick trajectories into controlled reaches, which depend on the sensorimotor cortex. We show that individual mice learned strategies biased to either direction- or endpoint-based movements. This endpoint/direction bias correlates with spatial directional variability with which the workspace was explored during training. Model-free reinforcement learning agents can generate both strategies with similar correlation between variability during training and learning bias. These results provide evidence that reinforcement of individual exploratory behavior during training biases the reaching strategies that mice learn.

Indexed as

ForelimbAnimalsBehavior, AnimalExploratory BehaviorFemaleLearningMaleMiceMice, Inbred C57BLMovementReinforcement, PsychologyCP: Neuroscienceexplorationhead-fixed behaviormotor control strategiesmotor learning

Identifiers

PMID38520691
PMCPMC11097405
OpenAlexW4393086072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.