A virtual version of a fruit fly’s visual system could help scientists understand how brain networks process information. The model could also lead to more efficient AI systems.
Light enters the compound eye of the fly, causing hexagonally arranged photoreceptors to send electrical signals through a complex neural network, enabling the fly to detect motion
“Now we can start with a guess for how the fly brain might work before anyone has to make an experimental measurement,” saysalso suggests that power-hungry artificial intelligence systems like ChatGPT might consume much less energy if they used some of the computational strategies found in a living brain., a professor at the University of Tübingen and an author of the study. “It’s able to do so many computations.
“Brains are so complex that I think the only way we will ever be able to understand them is by building accurate models,” Macke says.So the team decided to create a model of the brain circuits that allow a fruit fly to detect motion, like the approach of a fast moving hand or fly swatter. Finally, an artificial intelligence system was asked to study the activity of neurons as the video clips played.
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