[HTML][HTML] Representational drift: Emerging theories for continual learning and experimental future directions
Recent work has revealed that the neural activity patterns correlated with sensation,
cognition, and action often are not stable and instead undergo large scale changes over …
cognition, and action often are not stable and instead undergo large scale changes over …
[HTML][HTML] The emergence and influence of internal states
Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …
profoundly shape perception, cognition, and action. The neural basis of internal states, such …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in
a wide variety of settings. However, it remains unclear how to parse continuous keypoint …
a wide variety of settings. However, it remains unclear how to parse continuous keypoint …
[HTML][HTML] Natural behavior is the language of the brain
The breadth and complexity of natural behaviors inspires awe. Understanding how our
perceptions, actions, and internal thoughts arise from evolved circuits in the brain has …
perceptions, actions, and internal thoughts arise from evolved circuits in the brain has …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Toward the explainability, transparency, and universality of machine learning for behavioral classification in neuroscience
The use of rigorous ethological observation via machine learning techniques to understand
brain function (computational neuroethology) is a rapidly growing approach that is poised to …
brain function (computational neuroethology) is a rapidly growing approach that is poised to …
[HTML][HTML] Hierarchical action encoding in prefrontal cortex of freely moving macaques
Our natural behavioral repertoires include coordinated actions of characteristic types. To
better understand how neural activity relates to the expression of actions and action …
better understand how neural activity relates to the expression of actions and action …