Evidence map›Paper›PMID 31406365›Full record

ArticleNature neuroscience2019

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep.

Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete

Abstract read
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In one paragraph

Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers.

0numbers the graph read from it
0cells of the map it votes in
182citing 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

182 citing papers in PubMed.

  1. Article
  2. Article
  3. Ring attractor networks go full circle.Nature neuroscience · 2026
    Article
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  8. Article
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  14. Primary cilia and neural computation.Journal of biomedical science · 2026
    Review
  15. The hippocampus as a small-world cognitive map.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Learning of visual sequences by neurons in the human hippocampus.bioRxiv : the preprint server for biology · 2026
    Article

122 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

5 authors.

Rishidev ChaudhuriCenter for Learning and Memory, The University of Texas at Austin, Austin, TX, USA. rchaudhuri@ucdavis.edu.ORCID http://orcid.org/0000-0003-2301-3261
Berk Gerçek *Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-1063-6769
Biraj Pandey *Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Adrien PeyracheDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-9708-309X
Ila FieteCenter for Learning and Memory, The University of Texas at Austin, Austin, TX, USA. fiete@mit.edu.ORCID http://orcid.org/0000-0003-4738-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural circuits construct distributed representations of key variables-external stimuli or internal constructs of quantities relevant for survival, such as an estimate of one's location in the world-as vectors of population activity. Although population activity vectors may have thousands of entries (dimensions), we consider that they trace out a low-dimensional manifold whose dimension and topology match the represented variable. This manifold perspective enables blind discovery and decoding of the represented variable using only neural population activity (without knowledge of the input, output, behavior or topography). We characterize and directly visualize manifold structure in the mammalian head direction circuit, revealing that the states form a topologically nontrivial one-dimensional ring. The ring exhibits isometry and is invariant across waking and rapid eye movement sleep. This result directly demonstrates that there are continuous attractor dynamics and enables powerful inference about mechanism. Finally, external rather than internal noise limits memory fidelity, and the manifold approach reveals new dynamical trajectories during sleep.

Indexed as

Models, NeurologicalAnimalsBrainFemaleMaleMiceMice, Inbred C57BLNerve NetNeural Networks, ComputerSleep, REMWakefulness

Identifiers

What OpenQuestion holds

Textmetadata
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.