ArticleeLife2021
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
108 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the development and application of home cage monitoring in laboratory mice and rats.BMC biology · 2023Pooled it
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- Automated behavioral segmentation and markerless pose tracking of mice during spaceflight.bioRxiv : the preprint server for biology · 2026Article
- Old mice fail to integrate a memory update into an existing hippocampal engram.bioRxiv : the preprint server for biology · 2026Article
- Semi-automated detection of cleaning interactions using supervised machine learning.Scientific reports · 2026Article
- A paradigm for skilled forelimb reaching by head-restrained mice.bioRxiv : the preprint server for biology · 2026Article
- Autobehaver: An AI-Based Pipeline for Animal Behavior Analysis.bioRxiv : the preprint server for biology · 2026Article
- Centralized brain networks controlling antennal grooming coordination.Nature communications · 2026Article
- Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics.Research square · 2026Article
- Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification.bioRxiv : the preprint server for biology · 2026Article
- TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test.eNeuro · 2026Article
- Pain Outcome Determines the Sensitivity to Peripheral Opioid Antagonism of Morphine, Ibuprofen, and Their Combination in Laparotomized Mice.Pharmaceutics · 2026Article
- Functional bipartition of medial prefrontal cortex into salience detection and movement gain.bioRxiv : the preprint server for biology · 2026Article
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- Social compatibility in opposite-sex prairie vole pairs is modulated by early-life sleep experience.PLoS biology · 2026Article
- YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback.Science advances · 2026Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored manually, which is time-consuming, limited to few behaviors, and variable across researchers. We created DeepEthogram: software that uses supervised machine learning to convert raw video pixels into an ethogram, the behaviors of interest present in each video frame. DeepEthogram is designed to be general-purpose and applicable across species, behaviors, and video-recording hardware. It uses convolutional neural networks to compute motion, extract features from motion and images, and classify features into behaviors. Behaviors are classified with above 90% accuracy on single frames in videos of mice and flies, matching expert-level human performance. DeepEthogram accurately predicts rare behaviors, requires little training data, and generalizes across subjects. A graphical interface allows beginning-to-end analysis without end-user programming. DeepEthogram's rapid, automatic, and reproducible labeling of researcher-defined behaviors of interest may accelerate and enhance supervised behavior analysis. Code is available at: https://github.com/jbohnslav/deepethogram.
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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.