Honey Bees Can Use Sequence Learning to Predict Rewards from a Prior Unrewarded Visual Stimulus.

Bahram Kheradmand, Ian Richardson-Ramos, Sarah Chan, Claudia Nelson, James C Nieh

Abstract read

In one paragraph

Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bahram KheradmandSection of Ecology, Behavior, and Evolution, Division of Biological Sciences, University of California San Diego, 9500 Gilman Dr, MC0116, La Jolla, CA 92093, USA.

Ian Richardson-RamosSection of Ecology, Behavior, and Evolution, Division of Biological Sciences, University of California San Diego, 9500 Gilman Dr, MC0116, La Jolla, CA 92093, USA.

Sarah ChanSection of Ecology, Behavior, and Evolution, Division of Biological Sciences, University of California San Diego, 9500 Gilman Dr, MC0116, La Jolla, CA 92093, USA.

Claudia NelsonSection of Ecology, Behavior, and Evolution, Division of Biological Sciences, University of California San Diego, 9500 Gilman Dr, MC0116, La Jolla, CA 92093, USA.

James C NiehSection of Ecology, Behavior, and Evolution, Division of Biological Sciences, University of California San Diego, 9500 Gilman Dr, MC0116, La Jolla, CA 92093, USA.ORCID 0000-0001-6237-0726

Funding

UC San Diego UC San Diego Chancellor's Research Innovation Scholarships

6 · The paper itself

Abstract

Learning to anticipate upcoming events can increase fitness by allowing animals to choose the best course of action, and many species can learn sequences of events and anticipate rewards. To date, most studies have focused on sequences over short time scales such as a few seconds. Whereas events separated by a few seconds are easily learned, events separated by longer delays are typically more difficult to learn. Here, we show that honey bees (

Indexed as

animal cognitionApis melliferanavigationvisual learning

Identifiers

PMID40332847

DOI10.3390/insects16040358

PMCPMC12027691

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.