Behavioral decomposition reveals rich encoding structure employed across neocortex in rats
The cortical population code is pervaded by activity patterns evoked by movement, but it
remains largely unknown how such signals relate to natural behavior or how they might …
remains largely unknown how such signals relate to natural behavior or how they might …
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 …
Using deep learning to study emotional behavior in rodent models
JY Kuo, AJ Denman, NJ Beacher… - Frontiers in Behavioral …, 2022 - frontiersin.org
Quantifying emotional aspects of animal behavior (eg, anxiety, social interactions, reward,
and stress responses) is a major focus of neuroscience research. Because manual scoring …
and stress responses) is a major focus of neuroscience research. Because manual scoring …
Improved 3D markerless mouse pose estimation using temporal semi-supervision
Three-dimensional markerless pose estimation from multi-view video is emerging as an
exciting method for quantifying the behavior of freely moving animals. Nevertheless …
exciting method for quantifying the behavior of freely moving animals. Nevertheless …
BKinD-3D: self-supervised 3D keypoint discovery from multi-view videos
Quantifying motion in 3D is important for studying the behavior of humans and other
animals, but manual pose annotations are expensive and time-consuming to obtain. Self …
animals, but manual pose annotations are expensive and time-consuming to obtain. Self …
ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
Behavioral neuroscience faces two conflicting demands: long-duration recordings from large
neural populations and unimpeded animal behavior. To meet this challenge we developed …
neural populations and unimpeded animal behavior. To meet this challenge we developed …
Estimation of skeletal kinematics in freely moving rodents
A Monsees, KM Voit, DJ Wallace, J Sawinski… - Nature …, 2022 - nature.com
Forming a complete picture of the relationship between neural activity and skeletal
kinematics requires quantification of skeletal joint biomechanics during free behavior; …
kinematics requires quantification of skeletal joint biomechanics during free behavior; …
High-THC Cannabis smoke impairs incidental memory capacity in spontaneous tests of novelty preference for objects and odors in male rats
Working memory is an executive function that orchestrates the use of limited amounts of
information, referred to as working memory capacity, in cognitive functions. Cannabis …
information, referred to as working memory capacity, in cognitive functions. Cannabis …
CNN-based action recognition and pose estimation for classifying animal behavior from videos: A survey
Classifying the behavior of humans or animals from videos is important in biomedical fields
for understanding brain function and response to stimuli. Action recognition, classifying …
for understanding brain function and response to stimuli. Action recognition, classifying …
[HTML][HTML] A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
Behavioral neuroscience faces two conflicting demands: long-duration recordings from large
neural populations and unimpeded animal behavior. To meet this challenge, we developed …
neural populations and unimpeded animal behavior. To meet this challenge, we developed …