Evidence map›Paper›PMID 30181554›Full record

ArticleNature communications2018

Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats.

Arseny Finkelstein, Nachum Ulanovsky, Misha Tsodyks, Johnatan Aljadeff

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Design principles for cost functions in optimal sensory coding.Frontiers in computational neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Anticipatory Neural Activity Improves the Decoding Accuracy for Dynamic Head-Direction Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
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.

Arseny FinkelsteinDepartment of Neurobiology, Weizmann Institute of Science, 76100, Rehovot, Israel.ORCID http://orcid.org/0000-0003-1480-5670
Nachum UlanovskyDepartment of Neurobiology, Weizmann Institute of Science, 76100, Rehovot, Israel.
Misha TsodyksDepartment of Neurobiology, Weizmann Institute of Science, 76100, Rehovot, Israel. misha@weizmann.ac.il.
Johnatan AljadeffDepartment of Neurobiology, University of Chicago, Chicago, IL, 60637, USA. j.aljadeff@imperial.ac.uk.ORCID http://orcid.org/0000-0002-7145-0514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethologically relevant stimuli are often multidimensional. In many brain systems, neurons with "pure" tuning to one stimulus dimension are found along with "conjunctive" neurons that encode several dimensions, forming an apparently redundant representation. Here we show using theoretical analysis that a mixed-dimensionality code can efficiently represent a stimulus in different behavioral regimes: encoding by conjunctive cells is more robust when the stimulus changes quickly, whereas on long timescales pure cells represent the stimulus more efficiently with fewer neurons. We tested our predictions experimentally in the bat head-direction system and found that many head-direction cells switched their tuning dynamically from pure to conjunctive representation as a function of angular velocity-confirming our theoretical prediction. More broadly, our results suggest that optimal dimensionality depends on population size and on the time available for decoding-which might explain why mixed-dimensionality representations are common in sensory, motor, and higher cognitive systems across species.

Indexed as

AnimalsBrainChiropteraHeadModels, NeurologicalNeuronsOrientationTime Factors

Identifiers

PMID30181554
PMCPMC6123463

What OpenQuestion holds

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Registered trials

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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.