AIMC Topic: Behavior, Animal

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The behaviour of commercial broilers in response to a mobile robot.

British poultry science
1. Modern broiler production in large sheds holding upwards of 50 000 birds uses indoor climate control based on a handful of fixed-location sensors, often well above the bird-occupied zone. Significant deviations from optimal climate conditions for ...

Machine learning goes wild: Using data from captive individuals to infer wildlife behaviours.

PloS one
1. Remotely tracking distinct behaviours of animals using acceleration data and machine learning has been carried out successfully in several species in captive settings. In order to study the ecology of animals in natural habitats, such behaviour cl...

Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.

PLoS computational biology
Controlling the six legs of an insect walking in an unpredictable environment is a challenging task, as many degrees of freedom have to be coordinated. Solutions proposed to deal with this task are usually based on the highly influential concept that...

Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis.

PloS one
Assessing the well-being of an animal is hindered by the limitations of efficient communication between humans and animals. Instead of direct communication, a variety of parameters are employed to evaluate the well-being of an animal. Especially in t...

A swarm design paradigm unifying swarm behaviors using minimalistic communication.

Bioinspiration & biomimetics
Numerous nature inspired algorithms have been suggested to enable robotic swarms, mobile sensor networks and other multi-agent systems to exhibit various self-organized behaviors. Swarm intelligence and swarm robotics research have been underway for ...

Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks.

Sensors (Basel, Switzerland)
The detection of pig behavior helps detect abnormal conditions such as diseases and dangerous movements in a timely and effective manner, which plays an important role in ensuring the health and well-being of pigs. Monitoring pig behavior by staff is...

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis.

Journal of visualized experiments : JoVE
Understanding behavior is the first step to truly understanding neural mechanisms in the brain that drive it. Traditional behavioral analysis methods often do not capture the richness inherent to the natural behavior. Here, we provide detailed step-b...

An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection.

Scientific reports
Bees play a key role in pollination of crops and in diverse ecosystems. There have been multiple reports in recent years illustrating bee population declines worldwide. The search for more accurate forecast models can aid both in the understanding of...

Avoidance of non-localizable obstacles in echolocating bats: A robotic model.

PLoS computational biology
Most objects and vegetation making up the habitats of echolocating bats return a multitude of overlapping echoes. Recent evidence suggests that the limited temporal and spatial resolution of bio-sonar prevents bats from separately perceiving the obje...

Behavioural analysis of single-cell aneural ciliate, using machine learning approaches.

Journal of the Royal Society, Interface
There is still a significant gap between our understanding of neural circuits and the behaviours they compute-i.e. the computations performed by these neural networks (Carandini 2012 , 507-509. (doi:10.1038/nn.3043)). Cellular decision-making process...