AIMC Topic: Behavior, Animal

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Behavior classification: Introducing machine learning approaches for classification of sign-tracking, goal-tracking and beyond.

PloS one
Classifying behaviors in research often relies on predetermined or subjective cutoff values, which can introduce inconsistencies and reduce objectivity. For example, in Pavlovian conditioning studies, rodents display diverse behaviors which can be qu...

[The development of methods to evaluate experimental animal behavior using images].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
In life science and medicine, we have been conducting research using laboratory animals such as mice, rats and monkeys. However, it is impossible for humans to fully understand the feelings and conditions of experimental animals with whom we cannot c...

Implicit coordination for 3D underwater collective behaviors in a fish-inspired robot swarm.

Science robotics
Many fish species gather by the thousands and swim in harmony with seemingly no effort. Large schools display a range of impressive collective behaviors, from simple shoaling to collective migration and from basic predator evasion to dynamic maneuver...

Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources.

Science robotics
Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. Acquiring accurate behavioral i...

Improved 3D tracking and automated classification of rodents' behavioral activity using depth-sensing cameras.

Behavior research methods
Analysis of rodents' behavior/activity is of fundamental importance in many research fields. However, many behavioral experiments still rely on manual scoring, with obvious problems in reproducibility. Despite important advances in video-analysis sys...

A novel rat robot controlled by electrical stimulation of the nigrostriatal pathway.

Neurosurgical focus
OBJECTIVE: Artificial manipulation of animal movement could offer interesting advantages and potential applications using the animal's inherited superior sensation and mobility. Although several behavior control models have been introduced, they gene...

Machine learning-based automated phenotyping of inflammatory nocifensive behavior in mice.

Molecular pain
The discovery and development of new and potentially nonaddictive pain therapeutics requires rapid, yet clinically relevant assays of nociception in preclinical models. A reliable and scalable automated scoring system for nocifensive behavior of mice...

Multiplexing of Information about Self and Others in Hippocampal Ensembles.

Cell reports
In addition to coding a subject's location in space, the hippocampus has been suggested to code social information, including the spatial position of conspecifics. "Social place cells" have been reported for tasks in which an observer mimics the beha...

Computational Neuroethology: A Call to Action.

Neuron
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical advances in measuring and quantifying naturalistic behaviors provide an important opportunity for advancing brain science. However, the problem of understa...