AIMC Topic: Behavior, Animal

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Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.

The Journal of experimental biology Dec 23, 2024
The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis capabilities provided by deep learning, data scarcity remains a challenge in ecol...
Behavior, Animal Accelerometry Turtles Animals Deep Learning Endangered Species
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Mind the Step: An Artificial Intelligence-Based Monitoring Platform for Animal Welfare.

Sensors (Basel, Switzerland) Dec 17, 2024
We present an artificial intelligence (AI)-enhanced monitoring framework designed to assist personnel in evaluating and maintaining animal welfare using a modular architecture. This framework integrates multiple deep learning models to automatically ...
Behavior, Animal Monitoring, Physiologic Animal Welfare Artificial Intelligence Animals Deep Learning Cattle Swine Humans
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Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model.

eNeuro Dec 17, 2024
In an effort to increase access to neuroscience education in underserved communities, we created an educational program that utilizes a simple task to measure place preference of the cockroach () and the open-source free software, SLEAP Estimates Ani...
Neurosciences Male Machine Learning Nicotine Cockroaches Animals Behavior, Animal
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Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior.

Neuroscience Dec 13, 2024
Accurate analysis of anxiety behaviors in animal models is pivotal for advancing neuroscience research and drug discovery. This study compares the potential of DeepLabCut, ZebraLab, and machine learning models to analyze anxiety-related behaviors in ...
Machine Learning Animals Disease Models, Animal Zebrafish Behavior, Animal Anxiety Support Vector Machine
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Parallel development of social behavior in biological and artificial fish.

Nature communications Dec 5, 2024
Our algorithmic understanding of vision has been revolutionized by a reverse engineering paradigm that involves building artificial systems that perform the same tasks as biological systems. Here, we extend this paradigm to social behavior. We embodi...
Behavior, Animal Reinforcement, Psychology Social Behavior Animals Fishes Neural Networks, Computer Artificial Intelligence Algorithms
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Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data.

Sensors (Basel, Switzerland) Nov 21, 2024
The health, safety, and well-being of household pets such as cats has become a challenging task in previous years. To estimate a cat's behavior, objective observations of both the frequency and variability of specific behavior traits are required, wh...
Deep Learning Humans Wearable Electronic Devices Behavior, Animal Neural Networks, Computer Accelerometry Cats Animals
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Analysis of behavioral flow resolves latent phenotypes.

Nature methods Nov 12, 2024
The accurate detection and quantification of rodent behavior forms a cornerstone of basic biomedical research. Current data-driven approaches, which segment free exploratory behavior into clusters, suffer from low statistical power due to multiple te...
Machine Learning Phenotype Mice, Inbred C57BL Behavior, Animal Male Brain Exploratory Behavior Mice Animals Cluster Analysis
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Deep learning algorithms reveal increased social activity in rats at the onset of the dark phase of the light/dark cycle.

PloS one Nov 8, 2024
The rapid decrease of light intensity is a potent stimulus of rats' activity. The nature of this activity, including the character of social behavior and the composition of concomitant ultrasonic vocalizations (USVs), is unknown. Using deep learning ...
Behavior, Animal Vocalization, Animal Photoperiod Social Behavior Male Algorithms Deep Learning Animals Rats
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Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision.

Poultry science Nov 5, 2024
Artificial intelligence (AI) in animal behavior and welfare research is on the rise. AI can detect behaviors and localize animals in video recordings, thus it is a valuable tool for studying social dynamics. However, maintaining the identity of indiv...
Social Behavior Animal Identification Systems Video Recording Group Dynamics Artificial Intelligence Coturnix Behavior, Animal Color Animals Visual Perception Animal Husbandry
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Enhancing eco-sensing in aquatic environments: Fish jumping behavior automatic recognition using YOLOv5.

Aquatic toxicology (Amsterdam, Netherlands) Nov 1, 2024
Contemporary research on ichthyological behavior predominantly investigates underwater environments. However, the intricate nature of aquatic ecosystems often hampers subaqueous observations of fish behavior due to interference. Transitioning the obs...
Fishes Neural Networks, Computer Behavior, Animal Animals Ecosystem Environmental Monitoring
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