Evidence map›Paper›PMID 39738061›Full record

ArticleNature communications2024

Cerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation.

Joseph Pemberton, Paul Chadderton, Rui Ponte Costa

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Learning to select computations in recurrent neural circuits.bioRxiv : the preprint server for biology · 2026
    Article
  8. A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Online supervised learning of temporal patterns in biological neural networks under feedback control.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Learning neural dynamics through instructive signals.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

3 authors.

Joseph PembertonComputational Neuroscience Unit, Intelligent Systems Labs, Faculty of Engineering, University of Bristol, Bristol, UK. jpmbrton@uw.edu.ORCID 0009-0008-3990-7554
Paul ChaddertonSchool of Physiology, Pharmacology and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-6276-1011
Rui Ponte CostaComputational Neuroscience Unit, Intelligent Systems Labs, Faculty of Engineering, University of Bristol, Bristol, UK. rui.costa@dpag.ox.ac.uk.ORCID 0000-0003-2595-2027

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/X013340/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R513179/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X029336/1RCUK | Medical Research Council (MRC) MR/X006107/1Research Councils UK (RCUK) ERC-UKRI Frontier Research Guarantee Grant (EP/Y027841/1)Wellcome TrustWellcome Trust (Wellcome) 209453/Z/17/Z
6 · The paper itself

Abstract

The brain must maintain a stable world model while rapidly adapting to the environment, but the underlying mechanisms are not known. Here, we posit that cortico-cerebellar loops play a key role in this process. We introduce a computational model of cerebellar networks that learn to drive cortical networks with task-outcome predictions. First, using sensorimotor tasks, we show that cerebellar feedback in the presence of stable cortical networks is sufficient for rapid task acquisition and switching. Next, we demonstrate that, when trained in working memory tasks, the cerebellum can also underlie the maintenance of cognitive-specific dynamics in the cortex, explaining a range of optogenetic and behavioural observations. Finally, using our model, we introduce a systems consolidation theory in which task information is gradually transferred from the cerebellum to the cortex. In summary, our findings suggest that cortico-cerebellar loops are an important component of task acquisition, switching, and consolidation in the brain.

Indexed as

CerebellumCerebral CortexMemory, Short-TermModels, NeurologicalAnimalsCognitionComputer SimulationHumansLearningNerve NetOptogenetics

Identifiers

PMID39738061
PMCPMC11686095

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.