Evidence map›Paper›PMID 36622558›Full record

ArticleBehavior research methods2024

GoFish: A low-cost, open-source platform for closed-loop behavioural experiments on fish.

Victor Ajuwon, Bruno F Cruz, Paulo Carriço, Champalimaud Research Scientific Hardware Platform, Alex Kacelnik, Tiago Monteiro

Abstract 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Do goldfish like to be informed?Proceedings. Biological sciences · 2025
    Article
  6. Article
  7. 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

6 authors.

Victor AjuwonDepartment of Biology, University of Oxford, Oxford, UK. victor.ajuwon@biology.ox.ac.uk.
Bruno F CruzChampalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal.
Paulo CarriçoChampalimaud Research Scientific Hardware Platform, Champalimaud Foundation, Lisbon, Portugal.
Champalimaud Research Scientific Hardware Platform
Alex KacelnikDepartment of Biology, University of Oxford, Oxford, UK.
Tiago MonteiroDepartment of Biology, University of Oxford, Oxford, UK. tiago.monteiro@biology.ox.ac.uk.ORCID 0000-0002-2836-8961

Funding

Biotechnology and Biological Sciences Research Council BB/M011224/1Deutsche Forschungsgemeinschaft 390523135
6 · The paper itself

Abstract

Fish are the most species-rich vertebrate group, displaying vast ecological, anatomical and behavioural diversity, and therefore are of major interest for the study of behaviour and its evolution. However, with respect to other vertebrates, fish are relatively underrepresented in psychological and cognitive research. A greater availability of easily accessible, flexible, open-source experimental platforms that facilitate the automation of task control and data acquisition may help to reduce this bias and improve the scalability and refinement of behavioural experiments in a range of different fish species. Here we present GoFish, a fully automated platform for behavioural experiments in aquatic species. GoFish includes real-time video tracking of subjects, presentation of stimuli in a computer screen, an automatic feeder device, and closed-loop control of task contingencies and data acquisition. The design and software components of the platform are freely available, while the hardware is open-source and relatively inexpensive. The control software, Bonsai, is designed to facilitate rapid development of task workflows and is supported by a growing community of users. As an illustration and test of its use, we present the results of two experiments on discrimination learning, reversal, and choice in goldfish (Carassius auratus). GoFish facilitates the automation of high-throughput protocols and the acquisition of rich behavioural data. Our platform has the potential to become a widely used tool that facilitates complex behavioural experiments in aquatic species.

Indexed as

Behavior, AnimalSoftwareAnimalsDiscrimination LearningHumansAutomatic feederBonsaiFish behaviourGoldfishIntegrated fish conditioning platformReversal learning

Identifiers

PMID36622558
PMCPMC10794453

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.