Evidence map›Paper›PMID 26499494›Full record

ArticleeLife2015

Nonlinear circuits for naturalistic visual motion estimation.

James E Fitzgerald, Damon A Clark

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Optimization in Visual Motion Estimation.Annual review of vision science · 2024
    Review
  9. Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024
    Article
  10. A recurrent neural circuit inbioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Mechanism for analogous illusory motion perception in flies and humans.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  20. 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

2 authors.

James E FitzgeraldCenter for Brain Science, Harvard University, Cambridge, United States.ORCID http://orcid.org/0000-0002-0949-4188
Damon A ClarkDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, United States.ORCID http://orcid.org/0000-0001-8487-700X

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
NEI NIH HHS P30 EY026878
6 · The paper itself

Abstract

Many animals use visual signals to estimate motion. Canonical models suppose that animals estimate motion by cross-correlating pairs of spatiotemporally separated visual signals, but recent experiments indicate that humans and flies perceive motion from higher-order correlations that signify motion in natural environments. Here we show how biologically plausible processing motifs in neural circuits could be tuned to extract this information. We emphasize how known aspects of Drosophila's visual circuitry could embody this tuning and predict fly behavior. We find that segregating motion signals into ON/OFF channels can enhance estimation accuracy by accounting for natural light/dark asymmetries. Furthermore, a diversity of inputs to motion detecting neurons can provide access to more complex higher-order correlations. Collectively, these results illustrate how non-canonical computations improve motion estimation with naturalistic inputs. This argues that the complexity of the fly's motion computations, implemented in its elaborate circuits, represents a valuable feature of its visual motion estimator.

Indexed as

LocomotionMotion PerceptionAnimalsDrosophilaModels, NeurologicalNeuronsVisual PathwayscircuitsD. melanogastermotion perceptionnatural scenesneurosciencevision

Identifiers

PMID26499494
PMCPMC4663970

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.