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 …

Synthetic data in machine learning for medicine and healthcare

RJ Chen, MY Lu, TY Chen, DFK Williamson… - Nature Biomedical …, 2021 - nature.com
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 …

Leaving flatland: Advances in 3D behavioral measurement

JD Marshall, T Li, JH Wu, TW Dunn - Current Opinion in Neurobiology, 2022 - Elsevier
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 …

Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL

L An, J Ren, T Yu, T Hai, Y Jia, Y Liu - Nature Communications, 2023 - nature.com
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 …

3D-POP-An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture

H Naik, AHH Chan, J Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Improved 3D markerless mouse pose estimation using temporal semi-supervision

T Li, KS Severson, F Wang, TW Dunn - International journal of computer …, 2023 - Springer
Three-dimensional markerless pose estimation from multi-view video is emerging as an
exciting method for quantifying the behavior of freely moving animals. Nevertheless …

NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster

V Lobato-Rios, ST Ramalingasetty, PG Özdil… - Nature …, 2022 - nature.com
Animal behavior emerges from an interaction between neural network dynamics,
musculoskeletal properties and the physical environment. Accessing and understanding the …

replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine

F Plum, R Bulla, HK Beck, N Imirzian… - Nature …, 2023 - nature.com
Deep learning-based computer vision methods are transforming animal behavioural
research. Transfer learning has enabled work in non-model species, but still requires hand …

Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning

R Vaxenburg, I Siwanowicz, J Merel, AA Robie… - bioRxiv, 2024 - biorxiv.org
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 …

Challenges of a small world analysis for the continuous monitoring of behavior in mice

EB Contreras, RJ Sutherland, MH Mohajerani… - Neuroscience & …, 2022 - Elsevier
Documenting a mouse's “real world” behavior in the “small world” of a laboratory cage with
continuous video recordings offers insights into phenotypical expression of mouse …