ArticleNature communications2013
Leg-tracking and automated behavioural classification in Drosophila.
Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed.
- Developing and Assessing the Performance of a Machine Learning Model for Analyzing Drinking Behaviors in Minipigs for Experimental Research.Sensors (Basel, Switzerland) · 2026Article
- Dietary Escitalopram Reduces Movement Variability and Enhances Behavioral Predictability inBiology · 2025Article
- Sexual dimorphism and the impact of aging on ball rolling-associated locomotor behavior in Drosophila.Biology open · 2024Article
- Article
- Future avenues inLearning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Leveraging big data to uncover the eco-evolutionary factors shaping behavioural development.Proceedings. Biological sciences · 2023Review
- Motor dysfunction iniScience · 2022Article
- A Markerless Pose Estimator Applicable to Limbless Animals.Frontiers in behavioral neuroscience · 2022Article
- Excessive energy expenditure due to acute physical restraint disrupts Drosophila motivational feeding response.Scientific reports · 2021Article
- Article
- Establishment of open-source semi-automated behavioral analysis system and quantification of the difference of sexual motivation between laboratory and wild strains.Scientific reports · 2021Article
- Navigation of a Freely Walking Fruit Fly in Infinite Space Using a Transparent Omnidirectional Locomotion Compensator (TOLC).Sensors (Basel, Switzerland) · 2021Article
- Automatic Classification of Cichlid Behaviors Using 3D Convolutional Residual Networks.iScience · 2020Article
- Article
- Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm.PloS one · 2020Article
- Computational Neuroethology: A Call to Action.Neuron · 2019Review
- DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adulteLife · 2019Article
- DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.eLife · 2019Article
- Random Walk Revisited: Quantification and Comparative Analysis of Drosophila Walking Trajectories.iScience · 2019Article
- Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
Abstract
Much remains unknown about how the nervous system of an animal generates behaviour, and even less is known about the evolution of behaviour. How does evolution alter existing behaviours or invent novel ones? Progress in computational techniques and equipment will allow these broad, complex questions to be explored in great detail. Here we present a method for tracking each leg of a fruit fly behaving spontaneously upon a trackball, in real time. Legs were tracked with infrared-fluorescent dyes invisible to the fly, and compatible with two-photon microscopy and controlled visual stimuli. We developed machine-learning classifiers to identify instances of numerous behavioural features (for example, walking, turning and grooming), thus producing the highest-resolution ethological profiles for individual flies.
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.