AIMC Topic: Behavior, Animal

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Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks.

Scientific reports Feb 18, 2025
Measuring and monitoring fish welfare in aquaculture research relies on the use of outcome- (biotic) and input-based (e.g., abiotic) welfare indicators (WIs). Incorporating behavioural auditing into this toolbox can sometimes be challenging because s...
Animals Salmo salar Animal Welfare Behavior, Animal Deep Learning Aquaculture Homing Behavior
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Deep learning-driven behavioral analysis reveals adaptive responses in Drosophila offspring after long-term parental microplastic exposure.

Journal of environmental management Feb 15, 2025
Microplastics are widely distributed in the environment and pose potential hazards to organisms. However, our understanding of the transgenerational effects of microplastics on terrestrial organisms remains limited. In this study, we focused on the m...
Behavior, Animal Deep Learning Drosophila melanogaster Larva Animals Microplastics
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Analysis of Operant Self-administration Behaviors with Supervised Machine Learning: Protocol for Video Acquisition and Pose Estimation Analysis Using DeepLabCut and Simple Behavioral Analysis.

eNeuro Feb 6, 2025
The use of supervised machine learning to approximate poses in video recordings allows for rapid and efficient analysis of complex behavioral profiles. Currently, there are limited protocols for automated analysis of operant self-administration behav...
Behavior, Animal Self Administration Conditioning, Operant Supervised Machine Learning Video Recording Male Rats Animals
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Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research.

Sensors (Basel, Switzerland) Jan 28, 2025
In experimental research, animal welfare should always be of the highest priority. Currently, physical in-person observations are the standard. This is time-consuming, and results are subjective. Video-based machine learning models for monitoring exp...
Machine Learning Animals Video Recording Swine Animal Welfare Monitoring, Physiologic Behavior, Animal
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Marigold: a machine learning-based web app for zebrafish pose tracking.

BMC bioinformatics Jan 28, 2025
BACKGROUND: High-throughput behavioral analysis is important for drug discovery, toxicological studies, and the modeling of neurological disorders such as autism and epilepsy. Zebrafish embryos and larvae are ideal for such applications because they ...
Internet Zebrafish Behavior, Animal Animals Larva User-Computer Interface Machine Learning Software
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Development and applications of a machine learning model for an in-depth analysis of pentylenetetrazol-induced seizure-like behaviors in adult zebrafish.

Neuroscience Jan 27, 2025
Epilepsy, a neurological disorder causing recurring seizures, is often studied in zebrafish by exposing animals to pentylenetetrazol (PTZ), which induces clonic- and tonic-like behaviors. While adult zebrafish seizure-like behaviors are well characte...
Diazepam Valproic Acid Behavior, Animal Convulsants Anticonvulsants Disease Models, Animal Seizures Machine Learning Zebrafish Pentylenetetrazole Animals
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High-throughput markerless pose estimation and home-cage activity analysis of tree shrew using deep learning.

Animal models and experimental medicine Jan 23, 2025
BACKGROUND: Quantifying the rich home-cage activities of tree shrews provides a reliable basis for understanding their daily routines and building disease models. However, due to the lack of effective behavioral methods, most efforts on tree shrew be...
Deep Learning Behavior, Animal Tupaiidae Animals Male Female
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Toward collaborative artificial intelligence development for animal well-being.

Journal of the American Veterinary Medical Association Jan 10, 2025
This review focuses on opportunities and challenges of future AI developments in veterinary medicine, from the perspective of computer science researchers in developing AI systems for animal behavior analysis. We examine the paradigms of supervised l...
Animal Welfare Artificial Intelligence Behavior, Animal Humans Animals Veterinary Medicine
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Comparison between AI and human expert performance in acute pain assessment in sheep.

Scientific reports Jan 3, 2025
This study explores the question whether Artificial Intelligence (AI) can outperform human experts in animal pain recognition using sheep as a case study. It uses a dataset of N = 48 sheep undergoing surgery with video recordings taken before (no pai...
Behavior, Animal Acute Pain Video Recording Facial Expression Humans Artificial Intelligence Pain Measurement Sheep Animals
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Machine learning and confirmatory factor analysis show that buprenorphine alters motor and anxiety-like behaviors in male, female, and obese C57BL/6J mice.

Journal of neurophysiology Dec 30, 2024
Buprenorphine is an opioid approved for medication-assisted treatment of opioid use disorder. Used off-label, buprenorphine has been reported to contribute to the clinical management of anxiety. Although human anxiety is a highly prevalent disorder, ...
Motor Activity Mice Animals Behavior, Animal Factor Analysis, Statistical Machine Learning Male Mice, Inbred C57BL Buprenorphine Obesity Analgesics, Opioid Anxiety Female
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