Evidence map›Paper›PMID 37365884›Full record

ArticleeLife2023

How honey bees make fast and accurate decisions.

HaDi MaBouDi, James A R Marshall, Neville Dearden, Andrew B Barron

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  11. Future avenues inLearning & memory (Cold Spring Harbor, N.Y.) · 2024
    Review
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 at 2 institutions in 3 countries.

HaDi MaBouDiDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-7612-6465
James A R MarshallDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-1506-167X
Neville DeardenDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom.
Andrew B BarronDepartment of Computer Science, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-8135-6628
Neuroscience Institute · ITUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey bee ecology demands they make both rapid and accurate assessments of which flowers are most likely to offer them nectar or pollen. To understand the mechanisms of honey bee decision-making, we examined their speed and accuracy of both flower acceptance and rejection decisions. We used a controlled flight arena that varied both the likelihood of a stimulus offering reward and punishment and the quality of evidence for stimuli. We found that the sophistication of honey bee decision-making rivalled that reported for primates. Their decisions were sensitive to both the quality and reliability of evidence. Acceptance responses had higher accuracy than rejection responses and were more sensitive to changes in available evidence and reward likelihood. Fast acceptances were more likely to be correct than slower acceptances; a phenomenon also seen in primates and indicative that the evidence threshold for a decision changes dynamically with sampling time. To investigate the minimally sufficient circuitry required for these decision-making capacities, we developed a novel model of decision-making. Our model can be mapped to known pathways in the insect brain and is neurobiologically plausible. Our model proposes a system for robust autonomous decision-making with potential application in robotics.

Indexed as

FlowersPollenAnimalsBeesColorReproducibility of ResultsRewardaction selectionapis melliferacomputational biologydecision-makingforagingmushroom bodiesprotocerebrumsequential sampling modelsystems biology

Identifiers

PMID37365884
PMCPMC10299826
OpenAlexW4382182230

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.