Quantifying behavior to understand the brain

TD Pereira, JW Shaevitz, M Murthy - Nature neuroscience, 2020 - nature.com
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 …

Innovations and advances in modelling and measuring pain in animals

KE Sadler, JS Mogil, CL Stucky - Nature Reviews Neuroscience, 2022 - nature.com
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 …

SLEAP: A deep learning system for multi-animal pose tracking

TD Pereira, N Tabris, A Matsliah, DM Turner, J Li… - Nature …, 2022 - nature.com
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 …

A paradigm shift in translational psychiatry through rodent neuroethology

Y Shemesh, A Chen - Molecular psychiatry, 2023 - nature.com
Mental disorders are a significant cause of disability worldwide. They profoundly affect
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

C Segalin, J Williams, T Karigo, M Hui, M Zelikowsky… - Elife, 2021 - elifesciences.org
The study of naturalistic social behavior requires quantification of animals' interactions. This
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

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 …

Neural control of affiliative touch in prosocial interaction

YE Wu, J Dang, L Kingsbury, M Zhang, F Sun, RK Hu… - Nature, 2021 - nature.com
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 …

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

JP Bohnslav, NK Wimalasena, KJ Clausing, YY Dai… - Elife, 2021 - elifesciences.org
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 …

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

D Biderman, MR Whiteway, C Hurwitz, N Greenspan… - Nature …, 2024 - nature.com
Contemporary pose estimation methods enable precise measurements of behavior via
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 …