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Open-source software for automated rodent behavioral analysis

Rodent behavioral analysis is a major specialization in experimental psychology and behavioral neuroscience. Rodents display a wide range of species-specific behaviors, not only in their natural habitats but also under behavioral testing in controlled laboratory conditions. Detecting and categorizin...

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Detalles Bibliográficos
Autores principales: Isik, Sena, Unal, Gunes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149747/
https://www.ncbi.nlm.nih.gov/pubmed/37139530
http://dx.doi.org/10.3389/fnins.2023.1149027
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author Isik, Sena
Unal, Gunes
author_facet Isik, Sena
Unal, Gunes
author_sort Isik, Sena
collection PubMed
description Rodent behavioral analysis is a major specialization in experimental psychology and behavioral neuroscience. Rodents display a wide range of species-specific behaviors, not only in their natural habitats but also under behavioral testing in controlled laboratory conditions. Detecting and categorizing these different kinds of behavior in a consistent way is a challenging task. Observing and analyzing rodent behaviors manually limits the reproducibility and replicability of the analyses due to potentially low inter-rater reliability. The advancement and accessibility of object tracking and pose estimation technologies led to several open-source artificial intelligence (AI) tools that utilize various algorithms for rodent behavioral analysis. These software provide high consistency compared to manual methods, and offer more flexibility than commercial systems by allowing custom-purpose modifications for specific research needs. Open-source software reviewed in this paper offer automated or semi-automated methods for detecting and categorizing rodent behaviors by using hand-coded heuristics, machine learning, or neural networks. The underlying algorithms show key differences in their internal dynamics, interfaces, user-friendliness, and the variety of their outputs. This work reviews the algorithms, capability, functionality, features and software properties of open-source behavioral analysis tools, and discusses how this emergent technology facilitates behavioral quantification in rodent research.
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spelling pubmed-101497472023-05-02 Open-source software for automated rodent behavioral analysis Isik, Sena Unal, Gunes Front Neurosci Neuroscience Rodent behavioral analysis is a major specialization in experimental psychology and behavioral neuroscience. Rodents display a wide range of species-specific behaviors, not only in their natural habitats but also under behavioral testing in controlled laboratory conditions. Detecting and categorizing these different kinds of behavior in a consistent way is a challenging task. Observing and analyzing rodent behaviors manually limits the reproducibility and replicability of the analyses due to potentially low inter-rater reliability. The advancement and accessibility of object tracking and pose estimation technologies led to several open-source artificial intelligence (AI) tools that utilize various algorithms for rodent behavioral analysis. These software provide high consistency compared to manual methods, and offer more flexibility than commercial systems by allowing custom-purpose modifications for specific research needs. Open-source software reviewed in this paper offer automated or semi-automated methods for detecting and categorizing rodent behaviors by using hand-coded heuristics, machine learning, or neural networks. The underlying algorithms show key differences in their internal dynamics, interfaces, user-friendliness, and the variety of their outputs. This work reviews the algorithms, capability, functionality, features and software properties of open-source behavioral analysis tools, and discusses how this emergent technology facilitates behavioral quantification in rodent research. Frontiers Media S.A. 2023-04-17 /pmc/articles/PMC10149747/ /pubmed/37139530 http://dx.doi.org/10.3389/fnins.2023.1149027 Text en Copyright © 2023 Isik and Unal. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Isik, Sena
Unal, Gunes
Open-source software for automated rodent behavioral analysis
title Open-source software for automated rodent behavioral analysis
title_full Open-source software for automated rodent behavioral analysis
title_fullStr Open-source software for automated rodent behavioral analysis
title_full_unstemmed Open-source software for automated rodent behavioral analysis
title_short Open-source software for automated rodent behavioral analysis
title_sort open-source software for automated rodent behavioral analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149747/
https://www.ncbi.nlm.nih.gov/pubmed/37139530
http://dx.doi.org/10.3389/fnins.2023.1149027
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