Evidence map›Paper›PMID 36821587›Full record

ArticlePLoS computational biology2023

A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function.

John G Holman, Winnie W K Lai, Paul Pichler, Daniel Saska, Leon Lagnado, Christopher L Buckley

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Logarithmic coding leads to adaptive stabilization in the presence of sensorimotor delays.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Optimization in Visual Motion Estimation.Annual review of vision science · 2024
    Review
  3. 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

6 authors.

John G HolmanSchool of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.ORCID 0000-0001-7119-1973
Winnie W K LaiSchool of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.ORCID 0000-0002-7584-2793
Paul PichlerDepartment of Neurobiology, University of Vienna, Vienna, Austria.
Daniel SaskaSchool of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.
Leon LagnadoSchool of Life Sciences, University of Sussex, Brighton, United Kingdom.ORCID 0000-0002-1098-8839
Christopher L BuckleySchool of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.ORCID 0000-0002-8551-9121

Funding

Biotechnology and Biological Sciences Research Council BB/P022197/1
6 · The paper itself

Abstract

The optomotor response (OMR) is central to the locomotory behavior in diverse animal species including insects, fish and mammals. Furthermore, the study of the OMR in larval zebrafish has become a key model system for investigating the neural basis of sensorimotor control. However, a comprehensive understanding of the underlying control algorithms is still outstanding. In fish it is often assumed that the OMR, by reducing average optic flow across the retina, serves to stabilize position with respect to the ground. Yet the degree to which this is achieved, and how it could emerge from the intermittent burst dynamics of larval zebrafish swimming, are unclear. Here, we combine detailed computational modeling with a new approach to free-swimming experiments in which we control the amount of visual feedback produced by a given motor effort by varying the height of the larva above a moving grid stimulus. We develop an account of underlying feedback control mechanisms that describes both the bout initiation process and the control of swim speed during bouts. We observe that the degree to which fish stabilize their position is only partial and height-dependent, raising questions about its function. We find the relative speed profile during bouts follows a fixed temporal pattern independent of absolute bout speed, suggesting that bout speed and bout termination are not separately controlled. We also find that the reverse optic flow, experienced when the fish is swimming faster than the stimulus, plays a minimal role in control of the OMR despite carrying most of the sensory information about self-movement. These results shed new light on the underlying dynamics of the OMR in larval zebrafish and will be crucial for future work aimed at identifying the neural basis of this behavior.

Indexed as

SwimmingZebrafishAlgorithmsAnimalsLarvaMammalsMotor Activity

Identifiers

PMID36821587
PMCPMC9998047

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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.