Evidence map›Paper›PMID 27321922›Full record

ArticleNeuron2016

Fast Sequences of Non-spatial State Representations in Humans.

Zeb Kurth-Nelson, Marcos Economides, Raymond J Dolan, Peter Dayan

Open access · hybridAbstract read
In one paragraph

Article in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 1 synthesis or guideline pooled it, 226 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Rats replay episodic memories in context.Current biology : CB · 2026
    Article
  5. Article
  6. Building hierarchically nested structure by rapid neural sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Neural Representation of Episodic Time.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  8. Review
  9. Reasoning with programs in replay.bioRxiv : the preprint server for biology · 2025
    Article
  10. Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Exploring replay.Nature communications · 2025
    Article
  17. Article
  18. Article
  19. Mental time travel in the rat.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  20. Article

27 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Zeb Kurth-NelsonMax Planck-UCL Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK; Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK. Electronic address: zebkurthnelson@gmail.com.
Marcos EconomidesWellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK.
Raymond J DolanMax Planck-UCL Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK; Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK.
Peter DayanGatsby Computational Neuroscience Unit, University College London, London W1T 4JG, UK.
University College London · GBOxford Centre for Computational Neuroscience · GBProstate Cancer Research · GB

Funding

Wellcome Trust 091593Wellcome Trust 098362
6 · The paper itself

Abstract

Fast internally generated sequences of neural representations are suggested to support learning and online planning. However, these sequences have only been studied in the context of spatial tasks and never in humans. Here, we recorded magnetoencephalography (MEG) while human subjects performed a novel non-spatial reasoning task. The task required selecting paths through a set of six visual objects. We trained pattern classifiers on the MEG activity elicited by direct presentation of the visual objects alone and tested these classifiers on activity recorded during periods when no object was presented. During these object-free periods, the brain spontaneously visited representations of approximately four objects in fast sequences lasting on the order of 120 ms. These sequences followed backward trajectories along the permissible paths in the task. Thus, spontaneous fast sequential representation of states can be measured non-invasively in humans, and these sequences may be a fundamental feature of neural computation across tasks.

Indexed as

AdolescentAdultBrainFemaleHumansLearningMagnetoencephalographyMaleTask Performance and AnalysisVisual CortexVisual PerceptionYoung Adult

Identifiers

PMID27321922
PMCPMC4942698
OpenAlexW2426211887

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.