ReviewFrontiers in neuroscience2023
Open-source software for automated rodent behavioral analysis.
Review in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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.
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Who cites it
27 citing papers in PubMed, 45 citations in OpenAlex.
- Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.Veterinary medicine and science · 2026Review
- Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.Behavior research methods · 2026Article
- A novel behavioral paradigm for odor-induced voluntary urination in mice.Scientific reports · 2026Article
- TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test.eNeuro · 2026Article
- Article
- Appearance-based computer vision pipeline for multi-animal monitoring of canine activity, behavior and clinical observations.Frontiers in toxicology · 2026Article
- Incorporating Machine Learning Techniques to Enhance Rodent Surveillance in Marginalized Urban Communities.Ecology and evolution · 2025Article
- The emerging roles of long non-coding RNAs in the nervous system.Nature reviews. Neuroscience · 2025Review
- Profiling mouse behavior with computational tools to assess age-dependent differences in associative learning.Cell reports methods · 2025Article
- Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data.Patterns (New York, N.Y.) · 2025Article
- Predicting the Activity Level of the Great Gerbil (Ecology and evolution · 2025Article
- Of rats and robots: A mutual learning paradigm.Journal of the experimental analysis of behavior · 2025Article
- Article
- Article
- Exploring rodent prosociality: A conceptual framework.Translational neuroscience · 2025Review
- Refining animal care through technology: Addressing alopecia in Jaculus jaculus with validated computer vision analysis.PloS one · 2025Article
- OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints.Frontiers in systems neuroscience · 2025Article
- eLemur: A cellular-resolution 3D atlas of the mouse lemur brain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Instrumented swim test for quantifying motor impairment in rodents.Scientific reports · 2024Article
- ABNet: AI-Empowered Abnormal Action Recognition Method for Laboratory Mouse Behavior.Bioengineering (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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.