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 …

Synthetic data in machine learning for medicine and healthcare | Nature Biomedical Engineering
Skip to main content Thank you for visiting nature.com. You are using a browser version with …

Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the
true kinematics of animal movement. Existing 3D measurement techniques draw on …

Understandings of the three-dimensional social behaviors of freely moving large-size
mammals are valuable for both agriculture and life science, yet challenging due to …

Recent advances in machine learning and computer vision are revolutionizing the field of
animal behavior by enabling researchers to track the poses and locations of freely moving …

Deep learning-based computer vision methods are transforming animal behavioural
research. Transfer learning has enabled work in non-model species, but still requires hand …

Animal behavior emerges from an interaction between neural network dynamics,
musculoskeletal properties and the physical environment. Accessing and understanding the …

Markerless methods for animal posture tracking have been rapidly develo** recently, but
frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To …

Three-dimensional markerless pose estimation from multi-view video is emerging as an
exciting method for quantifying the behavior of freely moving animals. Nevertheless …

The body of an animal influences how the nervous system produces behavior. Therefore,
detailed modeling of the neural control of sensorimotor behavior requires a detailed model …