AIMC Topic: Behavior, Animal

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Dexterous robotic manipulation of alert adult Drosophila for high-content experimentation.

Nature methods
We present a robot that enables high-content studies of alert adult Drosophila by combining operations including gentle picking; translations and rotations; characterizations of fly phenotypes and behaviors; microdissection; or release. To illustrate...

Visual choice behavior by bumblebees (Bombus impatiens) confirms unsupervised neural network's predictions.

Journal of comparative psychology (Washington, D.C. : 1983)
The behavioral experiment herein tests the computational load hypothesis generated by an unsupervised neural network to examine bumblebee (Bombus impatiens) behavior at 2 visual properties: spatial frequency and symmetry. Untrained "flower-naïve" bum...

Acute caffeine administration affects zebrafish response to a robotic stimulus.

Behavioural brain research
Zebrafish has been recently proposed as a valid animal model to investigate the fundamental mechanisms regulating emotional behavior and evaluate the modulatory effects exerted by psychoactive compounds. In this study, we propose a novel methodologic...

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...

PoseR: a deep learning toolbox for classifying animal behaviour.

Open biology
The actions of animals provide a window into how their minds work. Recent advances in deep learning are providing powerful approaches to recognize patterns of animal movement from video recordings using markerless pose estimation models. Current meth...

Automated Behavioral Profiling Using Neural Networks Reveals Differences in Stress-Like Behavior Between Cave and Surface-Dwelling Astyanax mexicanus.

Journal of experimental zoology. Part B, Molecular and developmental evolution
Behavioral stress responses allow animals to quickly adapt to local environments and are critical for survival. Stress responses provide an ideal model for investigating the evolution of complex behaviors due to their conservation across species, cri...

Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study.

Journal of dairy science
This study investigates the application of ChatGPT-4 in extracting and classifying behavioral data from scientific literature, focusing on the daily time-activity budget of dairy cows. Accurate analysis of time-activity budgets is crucial for underst...