Evidence map›Paper›PMID 28837675›Full record

ArticlePloS one2017

The interplay between maze complexity, colony size, learning and memory in ants while solving a maze: A test at the colony level.

Maya Saar, Tomer Gilad, Tal Kilon-Kallner, Adar Rosenfeld, Aziz Subach, Inon Scharf

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  10. Leg or antenna injury inCurrent zoology · 2022
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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.

Maya SaarSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Tomer GiladSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Tal Kilon-KallnerSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Adar RosenfeldSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Aziz SubachSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Inon ScharfSchool of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0000-0002-8506-7161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central-place foragers need to explore their immediate habitat in order to reach food. We let colonies of the individually foraging desert ant Cataglyphis niger search for a food reward in a maze. We did so for three tests per day over two successive days and an additional test after a time interval of 4-20 days (seven tests in total). We examined whether the colonies reached the food reward faster, consumed more food and changed the number of workers searching over time, within and between days. Colonies' food-discovery time shortened within and between days, indicating that some workers learnt and became more efficient in moving through the maze. Such workers, however, also forgot and deteriorated in their food-discovery time, leveling off back to initial performance after about two weeks. We used mazes of increasing complexity levels, differing in the potential number of wrong turns. The number of workers searching increased with colony size. Food-discovery time also increased with colony size in complex mazes but not in simple ones, perhaps due to the more frequent interactions among workers in large colonies having to move through narrow routes. Finally, the motivation to solve the maze was probably not only the food reward, because food consumption did not change over time.

Indexed as

Feeding BehaviorMaze LearningMemoryAnimalsAnts

Identifiers

PMID28837675
PMCPMC5570381

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Registered trials

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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.