Evidence map›Paper›PMID 25786068›Full record

ArticleeLife2015

General features of the retinal connectome determine the computation of motion anticipation.

Jamie Johnston, Leon Lagnado

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Retinal ganglion cells encode the direction of motion outside their classical receptive field.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. The Impact of Multivesicular Release on the Transmission of Sensory Information by Ribbon Synapses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The dynamic receptive fields of retinal ganglion cells.Progress in retinal and eye research · 2018
    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

2 authors.

Jamie JohnstonSchool of Life Sciences, University of Sussex, Brighton, United Kingdom.
Leon LagnadoSchool of Life Sciences, University of Sussex, Brighton, United Kingdom.

Funding

Wellcome Trust 102905
6 · The paper itself

Abstract

Motion anticipation allows the visual system to compensate for the slow speed of phototransduction so that a moving object can be accurately located. This correction is already present in the signal that ganglion cells send from the retina but the biophysical mechanisms underlying this computation are not known. Here we demonstrate that motion anticipation is computed autonomously within the dendritic tree of each ganglion cell and relies on feedforward inhibition. The passive and non-linear interaction of excitatory and inhibitory synapses enables the somatic voltage to encode the actual position of a moving object instead of its delayed representation. General rather than specific features of the retinal connectome govern this computation: an excess of inhibitory inputs over excitatory, with both being randomly distributed, allows tracking of all directions of motion, while the average distance between inputs determines the object velocities that can be compensated for.

Indexed as

ConnectomeMotionAnimalsBiophysical PhenomenaDendritesExcitatory Postsynaptic PotentialsGoldfishMotion PerceptionNeural InhibitionRetinaRetinal Bipolar CellsRetinal Ganglion Cellsgoldfishmotion perceptionneuroscienceretinal circuitryvision

Identifiers

PMID25786068
PMCPMC4391023

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.