Evidence map›Paper›PMID 35508172›Full record

ArticleCurrent biology : CB2022

Neural mechanisms to exploit positional geometry for collision avoidance.

Ryosuke Tanaka, Damon A Clark

Abstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  5. Graph embeddings for identifying symmetries in Connectomes.bioRxiv : the preprint server for biology · 2025
    Article
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  7. On analogies in vertebrate and insect visual systems.Nature reviews. Neuroscience · 2025
    Review
  8. Article
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  11. Long-term neuropeptide modulation of female sexual drive via the TRP channel inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ryosuke TanakaInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06511, USA.
Damon A ClarkInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06511, USA; Department of Molecular Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA; Department of Physics, Yale University, New Haven, CT 06511, USA; Department of Neuroscience, Yale University, New Haven, CT 06511, USA. Electronic address: damon.clark@yale.edu.

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
Integrating visual counterevidence to detect self-motion in a small visual circuitR01EY026555 · NEI · YALE UNIVERSITY · PI CLARK, DAMON ALISTAIR · 2016 to 2025
$4.0M
NEI NIH HHS P30 EY026878NEI NIH HHS R01 EY026555
6 · The paper itself

Abstract

Visual motion provides rich geometrical cues about the three-dimensional configuration of the world. However, how brains decode the spatial information carried by motion signals remains poorly understood. Here, we study a collision-avoidance behavior in Drosophila as a simple model of motion-based spatial vision. With simulations and psychophysics, we demonstrate that walking Drosophila exhibit a pattern of slowing to avoid collisions by exploiting the geometry of positional changes of objects on near-collision courses. This behavior requires the visual neuron LPLC1, whose tuning mirrors the behavior and whose activity drives slowing. LPLC1 pools inputs from object and motion detectors, and spatially biased inhibition tunes it to the geometry of collisions. Connectomic analyses identified circuitry downstream of LPLC1 that faithfully inherits its response properties. Overall, our results reveal how a small neural circuit solves a specific spatial vision task by combining distinct visual features to exploit universal geometrical constraints of the visual world.

Indexed as

ConnectomeMotion PerceptionAnimalsDrosophilaNeuronsPhotic StimulationVision, Ocularcollision avoidance, direction selectivity, Drosophila melanogaster, visual feature detection, visual projection neuron, object detection

Identifiers

PMID35508172
PMCPMC9177691

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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.