Quantifying behavior to understand the brain
Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …
animal behavior at a resolution not previously imaginable. This has opened up a new field of …
Innovations and advances in modelling and measuring pain in animals
Best practices in preclinical algesiometry (pain behaviour testing) have shifted over the past
decade as a result of technological advancements, the continued dearth of translational …
decade as a result of technological advancements, the continued dearth of translational …
SLEAP: A deep learning system for multi-animal pose tracking
The desire to understand how the brain generates and patterns behavior has driven rapid
methodological innovation in tools to quantify natural animal behavior. While advances in …
methodological innovation in tools to quantify natural animal behavior. While advances in …
A paradigm shift in translational psychiatry through rodent neuroethology
Mental disorders are a significant cause of disability worldwide. They profoundly affect
individuals' well-being and impose a substantial financial burden on societies and …
individuals' well-being and impose a substantial financial burden on societies and …
The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice
The study of naturalistic social behavior requires quantification of animals' interactions. This
is generally done through manual annotation—a highly time-consuming and tedious …
is generally done through manual annotation—a highly time-consuming and tedious …
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
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 …
Neural control of affiliative touch in prosocial interaction
The ability to help and care for others fosters social cohesiveness and is vital to the physical
and emotional well-being of social species, including humans,–. Affiliative social touch, such …
and emotional well-being of social species, including humans,–. Affiliative social touch, such …
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 …
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
Contemporary pose estimation methods enable precise measurements of behavior via
supervised deep learning with hand-labeled video frames. Although effective in many cases …
supervised deep learning with hand-labeled video frames. Although effective in many cases …
Beyond the three-chamber test: toward a multimodal and objective assessment of social behavior in rodents
R Jabarin, S Netser, S Wagner - Molecular Autism, 2022 - Springer
Main In recent years, substantial advances in social neuroscience have been realized,
including the generation of numerous rodent models of autism spectrum disorder. Still, it can …
including the generation of numerous rodent models of autism spectrum disorder. Still, it can …