Evidence map›Paper›PMID 39119656›Full record

ArticleThe Journal of experimental biology2024

Viewpoint-independent face recognition via extrapolation in paper wasps.

Elizabeth A Tibbetts, Chloe Weise, Juanita Pardo-Sanchez, An Na Vi

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Elizabeth A TibbettsEcology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5625-892X
Chloe WeiseEcology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
Juanita Pardo-SanchezEcology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
An Na ViEcology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
Michigan Predoctoral Training in GeneticsT32GM149391 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JOHN V. MORAN · 2024 to 2026
$2.2M
Directorate for Biological Sciences IOS 2134910National Science Foundation IOS 2134910NIGMS NIH HHS T32 GM007544NIGMS NIH HHS T32 GM149391
6 · The paper itself

Abstract

Visual recognition of three-dimensional signals, such as faces, is challenging because the signals appear different from different viewpoints. A flexible but cognitively challenging solution is viewpoint-independent recognition, where receivers identify signals from novel viewing angles. Here, we used same/different concept learning to test viewpoint-independent face recognition in Polistes fuscatus, a wasp that uses facial patterns to individually identify conspecifics. We found that wasps use extrapolation to identify novel views of conspecific faces. For example, wasps identify a pair of pictures of the same wasp as the 'same', even if the pictures are taken from different views (e.g. one face 0 deg rotation, one face 60 deg rotation). This result is notable because it provides the first evidence of view-invariant recognition via extrapolation in an invertebrate. The results suggest that viewpoint-independent recognition via extrapolation may be a widespread strategy to facilitate individual face recognition.

Indexed as

WaspsAnimalsFaceFacial RecognitionFemalePattern Recognition, VisualRecognition, PsychologyBrainIndividual recognitionVisual processingVisual signals

Identifiers

PMID39119656
PMCPMC13087855

What OpenQuestion holds

Textmetadata
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.