Evidence map›Paper›PMID 35043782›Full record

ArticleeLife2022

Open-source, Python-based, hardware and software for controlling behavioural neuroscience experiments.

Thomas Akam, Andy Lustig, James M Rowland, Sampath Kt Kapanaiah, Joan Esteve-Agraz, Mariangela Panniello, Cristina Márquez, Michael M Kohl, Dennis Kätzel, Rui M Costa and 1 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  9. Neurodatascience: Past, Present, and Future.Data science in science · 2026
    Article
  10. Striatal ensembles specify and control granular forelimb actions.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. AneLife · 2025
    Article
  15. Article
  16. behaviorMate: AnbioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

Thomas AkamDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1810-0494
Andy LustigJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-1358-8363
James M RowlandDepartment of Physiology Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9140-8260
Sampath Kt KapanaiahInstitute of Applied Physiology, Ulm University, Ulm, Germany.
Joan Esteve-AgrazInstituto de Neurociencias (Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas), Sant Joan d'Alacant, Spain.
Mariangela PannielloDepartment of Physiology Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.
Cristina MárquezInstituto de Neurociencias (Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas), Sant Joan d'Alacant, Spain.ORCID 0000-0003-1948-2727
Michael M KohlDepartment of Physiology Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2566-5426
Dennis KätzelInstitute of Applied Physiology, Ulm University, Ulm, Germany.
Rui M Costa *Champalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID 0000-0003-1707-1051
Mark E Walton *Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0117-2894

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSTA, RUI M. · 2017 to 2021
$15.3M
Howard Hughes Medical InstituteNINDS NIH HHS U19 NS104649Wellcome Trust 109908/Z/15/ZWellcome Trust 202831/Z/16/ZWellcome Trust 214314/Z/18/ZWellcome Trust WT096193AIA
6 · The paper itself

Abstract

Laboratory behavioural tasks are an essential research tool. As questions asked of behaviour and brain activity become more sophisticated, the ability to specify and run richly structured tasks becomes more important. An increasing focus on reproducibility also necessitates accurate communication of task logic to other researchers. To these ends, we developed pyControl, a system of open-source hardware and software for controlling behavioural experiments comprising a simple yet flexible Python-based syntax for specifying tasks as extended state machines, hardware modules for building behavioural setups, and a graphical user interface designed for efficiently running high-throughput experiments on many setups in parallel, all with extensive online documentation. These tools make it quicker, easier, and cheaper to implement rich behavioural tasks at scale. As important, pyControl facilitates communication and reproducibility of behavioural experiments through a highly readable task definition syntax and self-documenting features. Here, we outline the system's design and rationale, present validation experiments characterising system performance, and demonstrate example applications in freely moving and head-fixed mouse behaviour.

Indexed as

AnimalsBehavioral SciencesComputersMiceReproducibility of ResultsSoftwareBehaviourHardwaremouseneuroscienceopen sourceSoftware

Identifiers

PMID35043782
PMCPMC8769647

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.