Evidence map›Paper›PMID 37671925›Full record

ArticleThe Journal of physiology2023

Convergent escape behaviour from distinct visual processing of impending collision in fish and grasshoppers.

Richard B Dewell, Terri Carroll-Mikhail, Margaret R Eisenbrandt, Alexander F Mendoza, Bidisha Halder, Thomas Preuss, Fabrizio Gabbiani

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Richard B DewellDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Terri Carroll-MikhailHunter College and the Graduate Center, The City University of New York, New York, USA.
Margaret R EisenbrandtDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Alexander F MendozaDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Bidisha HalderDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0005-5027-1911
Thomas PreussHunter College and the Graduate Center, The City University of New York, New York, USA.ORCID 0000-0002-8083-1693
Fabrizio GabbianiDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-4966-3027
Baylor College of Medicine · USThe Graduate Center, CUNY · US

Funding

VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
CRCNS: Understanding Single-Neuron Computation Using Nonlinear Model OptimizationR01NS130917 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI FABRIZIO GABBIANI, Matthias Heinkenschloss · 2022 to 2026
$1.6M
NEI NIH HHS P30 EY002520NINDS NIH HHS R01 NS130917
6 · The paper itself

Abstract

In animal species ranging from invertebrate to mammals, visually guided escape behaviours have been studied using looming stimuli, the two-dimensional expanding projection on a screen of an object approaching on a collision course at constant speed. The peak firing rate or membrane potential of neurons responding to looming stimuli often tracks a fixed threshold angular size of the approaching stimulus that contributes to the triggering of escape behaviours. To study whether this result holds more generally, we designed stimuli that simulate acceleration or deceleration over the course of object approach on a collision course. Under these conditions, we found that the angular threshold conveyed by collision detecting neurons in grasshoppers was sensitive to acceleration whereas the triggering of escape behaviours was less so. In contrast, neurons in goldfish identified through the characteristic features of the escape behaviours they trigger, showed little sensitivity to acceleration. This closely mirrored a broader lack of sensitivity to acceleration of the goldfish escape behaviour. Thus, although the sensory coding of simulated colliding stimuli with non-zero acceleration probably differs in grasshoppers and goldfish, the triggering of escape behaviours converges towards similar characteristics. Approaching stimuli with non-zero acceleration may help refine our understanding of neural computations underlying escape behaviours in a broad range of animal species. KEY POINTS: A companion manuscript showed that two mathematical models of collision-detecting neurons in grasshoppers and goldfish make distinct predictions for the timing of their responses to simulated objects approaching on a collision course with non-zero acceleration. Testing these experimental predictions showed that grasshopper neurons are sensitive to acceleration while goldfish neurons are not, in agreement with the distinct models proposed previously in these species using constant velocity approaches. Grasshopper and goldfish escape behaviours occurred after the stimulus reached a fixed angular size insensitive to acceleration, suggesting further downstream processing in grasshopper motor circuits to match what was observed in goldfish. Thus, in spite of different sensory processing in the two species, escape behaviours converge towards similar solutions. The use of object acceleration during approach on a collision course may help better understand the neural computations implemented for collision avoidance in a broad range of species.

Indexed as

GrasshoppersMotion PerceptionAnimalsMammalsMembrane PotentialsNeuronsPhotic StimulationVisual Perceptioncollision-avoidanceDCMDgiant fibreLGMDloomingMauthner cellneuron models

Identifiers

PMID37671925
PMCPMC10595048
OpenAlexW4386467245

What OpenQuestion holds

Textmetadata
LicenceTDM
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.