AIMC Topic: Behavior, Animal

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Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning.

Parasites & vectors Jul 1, 2024
BACKGROUND: Mosquitoes are carriers of tropical diseases, thus demanding a comprehensive understanding of their behaviour to devise effective disease control strategies. In this article we show that machine learning can provide a performance assessme...
Machine Learning Female Culicidae Behavior, Animal Mosquito Vectors Animals Male Imaging, Three-Dimensional
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Application of machine learning in the study of development, behavior, nerve, and genotoxicity of zebrafish.

Environmental pollution (Barking, Essex : 1987) Jun 28, 2024
Machine learning (ML) as a novel model-based approach has been used in studying aquatic toxicology in the environmental field. Zebrafish, as an ideal model organism in aquatic toxicology research, has been widely used to study the toxic effects of va...
Toxicity Tests Behavior, Animal Animals Water Pollutants, Chemical Zebrafish Machine Learning
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Quantifying the biomimicry gap in biohybrid robot-fish pairs.

Bioinspiration & biomimetics Jun 28, 2024
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from sim...
Biomimetics Behavior, Animal Social Behavior Models, Biological Neural Networks, Computer Fishes Computer Simulation Animals Robotics
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Automated monitoring of brush use in dairy cattle.

PloS one Jun 25, 2024
Access to brushes allows for natural scratching behaviors in cattle, especially in confined indoor settings. Cattle are motivated to use brushes, but brush use varies with multiple factors including social hierarchy and health. Brush use might serve ...
Animal Welfare Behavior, Animal Dairying Female Machine Learning Radio Frequency Identification Device Animals Algorithms Cattle
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A machine learning based method for tracking of simultaneously imaged neural activity and body posture of freely moving maggot.

Biochemical and biophysical research communications Jun 24, 2024
To understand neural basis of animal behavior, it is necessary to monitor neural activity and behavior in freely moving animal before building relationship between them. Here we use light sheet fluorescence microscope (LSFM) combined with microfluidi...
Machine Learning Drosophila Animals Larva Behavior, Animal Posture Drosophila melanogaster Movement Microscopy, Fluorescence Neurons
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Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques.

Sensors (Basel, Switzerland) Jun 22, 2024
Global Positioning Systems (GPSs) can collect tracking data to remotely monitor livestock well-being and pasture use. Supervised machine learning requires behavioral observations of monitored animals to identify changes in behavior, which is labor-in...
Female Animals Geographic Information Systems Cattle Unsupervised Machine Learning Behavior, Animal Algorithms
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A virtual rodent predicts the structure of neural activity across behaviours.

Nature Jun 11, 2024
Animals have exquisite control of their bodies, allowing them to perform a diverse range of behaviours. How such control is implemented by the brain, however, remains unclear. Advancing our understanding requires models that can relate principles of ...
Deep Learning Virtual Reality Rats Neural Networks, Computer Female Animals Sensorimotor Cortex Movement Motor Cortex Models, Neurological Rats, Long-Evans Behavior, Animal
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Perception of motion salience shapes the emergence of collective motions.

Nature communications Jun 5, 2024
Despite the profound implications of self-organization in animal groups for collective behaviors, understanding the fundamental principles and applying them to swarm robotics remains incomplete. Here we propose a heuristic measure of perception of mo...
Animals Motion Perception Birds Social Behavior Robotics Flight, Animal Motion Behavior, Animal
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Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals.

Sensors (Basel, Switzerland) May 16, 2024
Accelerometers worn by animals produce distinct behavioral signatures, which can be classified accurately using machine learning methods such as random forest decision trees. The objective of this study was to identify accelerometer signal separation...
Cattle Machine Learning Signal Processing, Computer-Assisted Video Recording Behavior, Animal Animals Accelerometry Male
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Machine Learning-Based Prediction of Cattle Activity Using Sensor-Based Data.

Sensors (Basel, Switzerland) May 16, 2024
Livestock monitoring is a task traditionally carried out through direct observation by experienced caretakers. By analyzing its behavior, it is possible to predict to a certain degree events that require human action, such as calving. However, this c...
Monitoring, Physiologic Behavior, Animal Cattle Support Vector Machine Machine Learning Algorithms Animals Humans
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