DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
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 …
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
Analyzing animal behavior via classifying each video frame using convolutional neural networks
U Stern, R He, CH Yang - Scientific reports, 2015 - nature.com
High-throughput analysis of animal behavior requires software to analyze videos. Such
software analyzes each frame individually, detecting animals' body parts. But the image …
software analyzes each frame individually, detecting animals' body parts. But the image …
[HTML][HTML] DeepBehavior: A deep learning toolbox for automated analysis of animal and human behavior imaging data
Detailed behavioral analysis is key to understanding the brain-behavior relationship. Here,
we present deep learning-based methods for analysis of behavior imaging data in mice and …
we present deep learning-based methods for analysis of behavior imaging data in mice and …
Big behavior: challenges and opportunities in a new era of deep behavior profiling
The assessment of rodent behavior forms a cornerstone of preclinical assessment in
neuroscience research. Nonetheless, the true and almost limitless potential of behavioral …
neuroscience research. Nonetheless, the true and almost limitless potential of behavioral …
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments
Quantification of behaviours of interest from video data is commonly used to study brain
function, the effects of pharmacological interventions, and genetic alterations. Existing …
function, the effects of pharmacological interventions, and genetic alterations. Existing …
ezTrack: An open-source video analysis pipeline for the investigation of animal behavior
Tracking animal behavior by video is one of the most common tasks in the life sciences.
Although commercial software exists for executing this task, they often present enormous …
Although commercial software exists for executing this task, they often present enormous …
Deep learning classification of canine behavior using a single collar-mounted accelerometer: Real-world validation
RD Chambers, NC Yoder, AB Carson, C Junge… - Animals, 2021 - mdpi.com
Simple Summary Collar-mounted activity monitors using battery-powered accelerometers
can continuously and accurately analyze specific canine behaviors and activity levels …
can continuously and accurately analyze specific canine behaviors and activity levels …
Mammalnet: A large-scale video benchmark for mammal recognition and behavior understanding
Monitoring animal behavior can facilitate conservation efforts by providing key insights into
wildlife health, population status, and ecosystem function. Automatic recognition of animals …
wildlife health, population status, and ecosystem function. Automatic recognition of animals …
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
O Sturman, L von Ziegler, C Schläppi, F Akyol… - …, 2020 - nature.com
To study brain function, preclinical research heavily relies on animal monitoring and the
subsequent analyses of behavior. Commercial platforms have enabled semi high …
subsequent analyses of behavior. Commercial platforms have enabled semi high …
Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain
MH McCullough, GJ Goodhill - Current Opinion in Neurobiology, 2021 - Elsevier
Neural computation has evolved to optimize the behaviors that enable our survival. Although
much previous work in neuroscience has focused on constrained task behaviors, recent …
much previous work in neuroscience has focused on constrained task behaviors, recent …