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 …
Neural circuits regulating prosocial behaviors
JJ Walsh, DJ Christoffel, RC Malenka - Neuropsychopharmacology, 2023 - nature.com
Positive, prosocial interactions are essential for survival, development, and well-being.
These intricate and complex behaviors are mediated by an amalgamation of neural circuit …
These intricate and complex behaviors are mediated by an amalgamation of neural circuit …
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 …
Multi-animal pose estimation, identification and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …
interactions cause occlusions and complicate the association of detected keypoints to the …
Dynamic influences on the neural encoding of social valence
N Padilla-Coreano, KM Tye… - Nature Reviews …, 2022 - nature.com
Social signals can serve as potent emotional triggers with powerful impacts on processes
from cognition to valence processing. How are social signals dynamically and flexibly …
from cognition to valence processing. How are social signals dynamically and flexibly …
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 …
Multi-animal pose estimation and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …
interactions cause occlusions and complicate the association of detected keypoints to the …
Open-source tools for behavioral video analysis: Setup, methods, and best practices
Recently developed methods for video analysis, especially models for pose estimation and
behavior classification, are transforming behavioral quantification to be more precise …
behavior classification, are transforming behavioral quantification to be more precise …
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 …
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity
Frequent interactions between individuals are a fundamental challenge for pose estimation
algorithms. Current pipelines either use an object detector together with a pose estimator …
algorithms. Current pipelines either use an object detector together with a pose estimator …