ArticleCommunications biology2019
Robust mouse tracking in complex environments using neural networks.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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.
Who cites it
38 citing papers in PubMed.
- DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice.Cell reports methods · 2026Article
- Using Machine Learning to Automate the Analysis of an Olfactory Habituation-Dishabituation Task in Mice.Brain and behavior · 2026Article
- Adoption of MMPose, a general purpose pose estimation library, for animal tracking.bioRxiv : the preprint server for biology · 2026Article
- Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification.bioRxiv : the preprint server for biology · 2026Article
- Integrating supervised and unsupervised machine learning for behavior segmentation reveals latent frailty signatures and improves aging clocks in isogenic and outbred mice.bioRxiv : the preprint server for biology · 2026Article
- Article
- Visual detection of seizures in mice using supervised machine learning.Cell reports methods · 2025Article
- Machine vision-based frailty assessment for genetically diverse mice.GeroScience · 2025Article
- Differing Genetics of Saline and Cocaine Self-Administration in the Hybrid Mouse Diversity Panel.Genes, brain, and behavior · 2025Article
- Using Computational Video Analysis in Aging Mice to Evaluate the Effects of Chronic Monotherapy, Polypharmacy, and Deprescribing Over Time.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Differing genetics of saline and cocaine self-administration in the hybrid mouse diversity panel.bioRxiv : the preprint server for biology · 2025Article
- The modified elevated gap interaction test: a novel paradigm to assess social preference.Open biology · 2024Article
- Machine vision based frailty assessment for genetically diverse mice.bioRxiv : the preprint server for biology · 2024Article
- Highly accurate and precise determination of mouse mass using computer vision.Patterns (New York, N.Y.) · 2024Article
- Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.Nature neuroscience · 2024Article
- Visual detection of seizures in mice using supervised machine learning.bioRxiv : the preprint server for biology · 2024Article
- Complementation testing identifies genes mediating effects at quantitative trait loci underlying fear-related behavior.Cell genomics · 2024Article
- Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups Using a Single Model Across Cages.International journal of computer vision · 2024Article
- PyMouseTracks: Flexible Computer Vision and RFID-Based System for Multiple Mouse Tracking and Behavioral Assessment.eNeuro · 2023Article
- CATER: Combined Animal Tracking & Environment Reconstruction.Science advances · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The ability to track animals accurately is critical for behavioral experiments. For video-based assays, this is often accomplished by manipulating environmental conditions to increase contrast between the animal and the background in order to achieve proper foreground/background detection (segmentation). Modifying environmental conditions for experimental scalability opposes ethological relevance. The biobehavioral research community needs methods to monitor behaviors over long periods of time, under dynamic environmental conditions, and in animals that are genetically and behaviorally heterogeneous. To address this need, we applied a state-of-the-art neural network-based tracker for single mice. We compare three different neural network architectures across visually diverse mice and different environmental conditions. We find that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data. Furthermore, we provide a labeling interface, labeled training data, tuned hyperparameters, and a pretrained network for the behavior and neuroscience communities.
Indexed as
Identifiers
What OpenQuestion holds
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.