AI Medical Compendium Topic

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Behavior, Animal

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Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior.

Scientific reports
Barcode-based tracking of individuals is revolutionizing animal behavior studies, but further progress hinges on whether in addition to determining an individual's location, specific behaviors can be identified and monitored. We achieve this goal usi...

Recurrent networks endowed with structural priors explain suboptimal animal behavior.

Current biology : CB
The strategies found by animals facing a new task are determined both by individual experience and by structural priors evolved to leverage the statistics of natural environments. Rats quickly learn to capitalize on the trial sequence correlations of...

Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy.

eLife
Mice are the most commonly used model animals for itch research and for development of anti-itch drugs. Most laboratories manually quantify mouse scratching behavior to assess itch intensity. This process is labor-intensive and limits large-scale gen...

Exploring behaviours perceived as important for human-Dog bonding and their translation to a robotic platform.

PloS one
To facilitate long-term engagement with social robots, emerging evidence suggests that modelling robots on social animals with whom many people form enduring social bonds-specifically, pet dogs-may be useful. However, scientific understanding of the ...

Neural mechanisms underlying the temporal organization of naturalistic animal behavior.

eLife
Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, with variability arising from at least three sources: hierarchical, contextual, and stochastic. What neural mechanisms and computational principles underl...

Selfee, self-supervised features extraction of animal behaviors.

eLife
Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learning models are efficiently used in laboratories for behavior analysis. However, it has not been achieved to use an end-to-end unsupervised neural netw...

Any colour you like: fish interacting with bioinspired robots unravel mechanisms promoting mixed phenotype aggregations.

Bioinspiration & biomimetics
Collective behaviours in homogeneous shoals provide several benefits to conspecifics, although mixed-species aggregations have been reported to often occur. Mixed aggregations may confer several beneficial effects such as antipredator and foraging ad...

SLEAP: A deep learning system for multi-animal pose tracking.

Nature methods
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimatio...

Automated procedure to assess pup retrieval in laboratory mice.

Scientific reports
All mammalian mothers form some sort of caring bond with their infants that is crucial to the development of their offspring. The Pup Retrieval Test (PRT) is the leading procedure to assess pup-directed maternal care in laboratory rodents, used in a ...

Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior.

Neural networks : the official journal of the International Neural Network Society
It is one of the ultimate goals of ethology to understand the generative process of animal behavior, and the ability to reproduce and control behavior is an important step in this field. However, it is not easy to achieve this goal in systems with co...