Evidence map›Paper›PMID 40208660›Full record

ArticleeLife2025

Active vision of bees in a simple pattern discrimination task.

HaDi MaBouDi, Jasmin Richter, Marie-Geneviève Guiraud, Mark Roper, James A R Marshall, Lars Chittka

Abstract read
In one paragraph

Article in eLife, 2025. 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
–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

2 citing papers in PubMed.

  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

6 authors.

HaDi MaBouDiSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7612-6465
Jasmin RichterSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0009-0003-9534-7903
Marie-Geneviève GuiraudSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0001-5843-9188
Mark RoperSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1135-6187
James A R MarshallDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-1506-167X
Lars ChittkaSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8153-1732

Funding

Engineering and Physical Sciences Research Council Programme Grant Brains on Board (EP/P006094/1)Human Frontier Science Program RGP0022/2014
6 · The paper itself

Abstract

Active vision, the sensory-motor process through which animals dynamically adjust visual input to sample and prioritise relevant information via photoreceptors, eyes, head, and body movements, is well-documented across species. In small-brained animals like insects, where parallel processing may be limited, active vision for sequential acquisition of visual features might be even more important. We investigated how bumblebees use active vision to distinguish between two visual patterns: a multiplication sign and its 45°-rotated variant, a plus sign. By allowing bees to freely inspect patterns, we analysed their flight paths, inspection times, velocities and regions of focus through high-speed videography. We observed that bees tended to inspect only a small region of each pattern, with a preference for lower and left-side sections, before accurately accepting target or rejecting distractor patterns. The specific pattern areas scanned differed between the plus and multiplication signs, yet flight behaviour remained consistent and specific to each pattern, regardless of whether the pattern was rewarding or punishing. Transfer tests showed that bees could generalise their pattern recognition to partial cues, maintaining scanning strategies and selective attention to learned regions. These findings highlight active vision as a crucial aspect of bumblebees' visual processing, where selective scanning behaviours during flight enhance discrimination accuracy and enable efficient environmental analysis and visual encoding.

Indexed as

Pattern Recognition, VisualVision, OcularAnimalsBeesBehavior, AnimalFlight, AnimalBombus terrestrisflight analysislateralisationneurosciencescanning behaviourvisual recognition

Identifiers

PMID40208660
PMCPMC11984957

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.