[HTML][HTML] Representational drift: Emerging theories for continual learning and experimental future directions

LN Driscoll, L Duncker, CD Harvey - Current Opinion in Neurobiology, 2022 - Elsevier
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 …

[HTML][HTML] The emergence and influence of internal states

SW Flavell, N Gogolla, M Lovett-Barron, M Zelikowsky - Neuron, 2022 - cell.com
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 …

[HTML][HTML] 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 …

[HTML][HTML] Multi-animal pose estimation, identification and tracking with DeepLabCut

J Lauer, M Zhou, S Ye, W Menegas, S Schneider… - Nature …, 2022 - nature.com
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 …

[HTML][HTML] Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

C Weinreb, JE Pearl, S Lin, MAM Osman, L Zhang… - Nature …, 2024 - nature.com
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 …

[HTML][HTML] Natural behavior is the language of the brain

CT Miller, D Gire, K Hoke, AC Huk, D Kelley… - Current Biology, 2022 - cell.com
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 …

[HTML][HTML] 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 …

[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 …

Toward the explainability, transparency, and universality of machine learning for behavioral classification in neuroscience

NL Goodwin, SRO Nilsson, JJ Choong… - Current opinion in …, 2022 - Elsevier
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 …

[HTML][HTML] Hierarchical action encoding in prefrontal cortex of freely moving macaques

B Voloh, DJN Maisson, RL Cervera, I Conover… - Cell reports, 2023 - cell.com
Our natural behavioral repertoires include coordinated actions of characteristic types. To
better understand how neural activity relates to the expression of actions and action …