AIMC Topic: Behavior, Animal

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ACOustic: A Nature-Inspired Exploration Indicator for Ant Colony Optimization.

TheScientificWorldJournal
A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms. This idea is inspired by the behavior of some parasites in their mimicry to the queens' acou...

Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.

Behavioural processes
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...

Optogenetics Based Rat-Robot Control: Optical Stimulation Encodes "Stop" and "Escape" Commands.

Annals of biomedical engineering
Electric brain stimulation is frequently used in bio-robot control. However, one possible limitation of electric stimulation is the resultant wide range of influences that may lead to unexpected side-effects. Although there has been prior research do...

Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks.

IEEE transactions on cybernetics
Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates' socia...

A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses.

Poultry science
Ventilation quality in summer layer houses is critical for heat stress prevention, production performance, and poultry welfare. Addressing the issue of "qualified environmental parameters but chicken discomfort" caused by traditional methods overlook...

Volumetric and Diffusion Tensor Imaging Abnormalities Are Associated With Behavioral Changes Post-Concussion in a Youth Pig Model of Mild Traumatic Brain Injury.

NMR in biomedicine
Mild traumatic brain injury (mTBI) caused by sports-related incidents in children and youth often leads to prolonged cognitive impairments but remains difficult to diagnose. In order to identify clinically relevant imaging and behavioral biomarkers a...

YOLOv11-Based quantification and temporal analysis of repetitive behaviors in deer mice.

Neuroscience
Detailed temporal dynamics of deer mouse (Peromyscus maniculatus bairdii) behavior remain poorly characterized. This study presents an integrated automated system combining YOLOv11 deep learning for direct behavior classification, post-processing for...

Swimming into the future: Machine learning in zebrafish behavioral research.

Progress in neuro-psychopharmacology & biological psychiatry
The zebrafish (Danio rerio) has emerged as a powerful organism in behavioral neuroscience, offering invaluable insights into the neural circuits and molecular pathways underlying complex behaviors. Although the knowledge of zebrafish behavioral reper...

Exploring equine behavior: Wearable sensors data and explainable AI for enhanced classification.

Journal of equine veterinary science
Understanding equine behavior through advanced monitoring technologies is crucial for improving animal welfare, optimizing training strategies, and enabling early detection of health or stress-related issues. This study integrates wearable sensor dat...

A circadian behavioral analysis suite for real-time classification of daily rhythms in complex behaviors.

Cell reports methods
Long-term analysis of animal behavior has been limited by reliance on real-time sensors or manual scoring. Existing machine learning tools can automate analysis but often fail under variable conditions or ignore temporal dynamics. We developed a scal...