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Artificial intelligence resolves conflicts impeding animal behavior research - EurekAlert
Artificial intelligence software has been developed to rapidly analyze animal behavior to more rapidly link behaviors to the activity of individual brain circuits and neurons. The program promises not only to speed research into the neurobiology of behavior, but also to enable comparison and reconcile results that disagree due to differences in how individual laboratories observe, analyze and classify behaviors. To automate the process of animal observation, researchers have developed AI-based systems to track components of an animal’s behavior and automatically classify the behavior, for example, as aggressive or submissive. Because these programs can also record details more quickly than a person can, it is much more likely that an action can be closely correlated with neural activity, which typically occurs in milliseconds. Although initially created for rodent studies, interest in the program has been expressed by reserarchers studying wasp, zebrafish, and moth behaviors.
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