AIMC Topic: Behavior, Animal
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Understanding brain functional architecture through robotics.
Science robotics
May 31, 2023
Robotics is increasingly seen as a useful test bed for computational models of the brain functional architecture underlying animal behavior. We provide an overview of past and current work, focusing on probabilistic and dynamical models, including ap...
Automatic detection of brown hens in cage-free houses with deep learning methods.
Poultry science
May 18, 2023
Computer vision technologies have been tested to monitor animals' behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, ...
The Natural Robotics Contest: crowdsourced biomimetic design.
Bioinspiration & biomimetics
Mar 22, 2023
Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on E...
: Quantification of user-defined animal behaviors using learning-based holistic assessment.
Cell reports methods
Feb 24, 2023
Quantifying animal behavior is important for biological research. Identifying behaviors is the prerequisite of quantifying them. Current computational tools for behavioral quantification typically use high-level properties such as body poses to ident...
A study of transfer of information in animal collectives using deep learning tools.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Feb 20, 2023
We studied how the interactions among animals in a collective allow for the transfer of information. We performed laboratory experiments to study how zebrafish in a collective follow a subset of trained animals that move towards a light when it turns...
DeepAction: a MATLAB toolbox for automated classification of animal behavior in video.
Scientific reports
Feb 15, 2023
The identification of animal behavior in video is a critical but time-consuming task in many areas of research. Here, we introduce DeepAction, a deep learning-based toolbox for automatically annotating animal behavior in video. Our approach uses feat...
Evaluation of mouse behavioral responses to nutritive versus nonnutritive sugar using a deep learning-based 3D real-time pose estimation system.
Journal of neurogenetics
Feb 15, 2023
Animals are able to detect the nutritional content of sugar independently of taste. When given a choice between nutritive sugar and nonnutritive sugar, animals develop a preference for nutritive sugar over nonnutritive sugar during a period of food d...
Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning.
Journal of dairy science
Feb 14, 2023
Automatic respiration monitoring of dairy cows in modern farming not only helps to reduce manual labor but also increases the automation of health assessment. It is common for cows to congregate on farms, which poses a challenge for manual observatio...
Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior.
Scientific reports
Jan 27, 2023
Barcode-based tracking of individuals is revolutionizing animal behavior studies, but further progress hinges on whether in addition to determining an individual's location, specific behaviors can be identified and monitored. We achieve this goal usi...
Recurrent networks endowed with structural priors explain suboptimal animal behavior.
Current biology : CB
Jan 18, 2023
The strategies found by animals facing a new task are determined both by individual experience and by structural priors evolved to leverage the statistics of natural environments. Rats quickly learn to capitalize on the trial sequence correlations of...
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