Evidence map›Paper›PMID 35641754›Full record

ArticleAnimal cognition2022

House sparrows use learned information selectively based on whether reward is hidden or visible.

Yotam Ben-Oren, Noa Truskanov, Arnon Lotem

Abstract read
PubMed Publisher
In one paragraph

Article in Animal cognition, 2022. 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
1.2field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    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

3 authors at 1 institution in 2 countries.

Yotam Ben-OrenSchool of Zoology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel. yotambenoren@gmail.com.ORCID http://orcid.org/0000-0002-4280-5195
Noa TruskanovSchool of Zoology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Arnon LotemSchool of Zoology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Tel Aviv University · IL

Funding

Israel Science Foundation 1126/19Israel Science Foundation grants 871/15
6 · The paper itself

Abstract

Based on past experience, food-related-cues can help foragers to predict the presence and the expected quality of food. However, when the food is already visible there is no need to predict its presence or its other visible attributes, but only those that are still cryptic, such as expected handling time or taste. Optimal foragers should therefore use only knowledge that is relevant to the current setting. Nevertheless, the extent to which they do so is not clear. In a set of experiments, we examined how a change in setting, from hidden to visible reward, affects the reliance of house sparrows (Passer domesticus) on three previously learned attributes of food-related cues (sand colors): the setting of the cue (e.g., whether the food was hidden or exposed), the expected amount of the reward (number of seeds), and the expected handling time. We found that sparrows used all three attributes when the rewards were hidden but reached decisions mainly based on handling time when the rewards were visible. This selective use of cue-related information suggests that animals do not simply associate cues with their average expected value but rather learn different attributes of a cue and use all, or only some of them, in a context-appropriate manner.

Indexed as

SparrowsAnimalsCuesFoodLearningRewardCognitionForagingHandling timeLearningReward visibility

Identifiers

PMID35641754
OpenAlexW4281952364

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.