Evidence map›Paper›PMID 36814006›Full record

ArticleBehavior research methods2024

A simple semi-automated home-tank method and procedure to explore classical associative learning in adult zebrafish.

Alexis Buatois, Zahra Siddiqi, Sadia Naim, Tulip Marawi, Robert Gerlai

Open access · hybridAbstract read
In one paragraph

Article in Behavior research methods, 2024. 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
1.5field-weighted citation impact, top 20% 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, 7 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 2 countries.

Alexis BuatoisDepartment of Psychology, University of Toronto Mississauga, Rm CCT4004, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada. buatoisalexis@gmail.com.ORCID 0000-0002-1089-1340
Zahra SiddiqiDepartment of Psychology, University of Toronto Mississauga, Rm CCT4004, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada.
Sadia NaimDepartment of Psychology, University of Toronto Mississauga, Rm CCT4004, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada.
Tulip MarawiDepartment of Psychology, University of Toronto Mississauga, Rm CCT4004, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada.
Robert GerlaiDepartment of Psychology, University of Toronto Mississauga, Rm CCT4004, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada. robert_gerlai@yahoo.com.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The zebrafish is a laboratory species that gained increasing popularity the last decade in a variety of subfields of biology, including toxicology, ecology, medicine, and the neurosciences. An important phenotype often measured in these fields is behaviour. Consequently, numerous new behavioural apparati and paradigms have been developed for the zebrafish, including methods for the analysis of learning and memory in adult zebrafish. Perhaps the biggest obstacle in these methods is that zebrafish is particularly sensitive to human handling. To overcome this confound, automated learning paradigms have been developed with varying success. In this manuscript, we present a semi-automated home tank-based learning/memory test paradigm utilizing visual cues, and show that it is capable of quantifying classical associative learning performance in zebrafish. We demonstrate that in this task, zebrafish successfully acquire the association between coloured-light and food reward. The hardware and software components of the task are easy and cheap to obtain and simple to assemble and set up. The procedures of the paradigm allow the test fish to remain completely undisturbed by the experimenter for several days in their home (test) tank, eliminating human handling or human interference induced stress. We demonstrate that the development of cheap and simple automated home-tank-based learning paradigms for the zebrafish is feasible. We argue that such tasks will allow us to better characterize numerous cognitive and mnemonic features of the zebrafish, including elemental as well as configural learning and memory, which will, in turn, also enhance our ability to study neurobiological mechanisms underlying learning and memory using this model organism.

Indexed as

Association LearningZebrafishAnimalsCuesHumansLearningMemoryAutomated deviceCognitionElemental learningFood conditioningZebrafish

Identifiers

PMID36814006
PMCPMC10830691
OpenAlexW4321491505

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.