A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that could also influence future artificial intelligence (AI) systems. In most deep learning architectures, information is processed step by step through tens of layers inside the cortex, the brain's main structure involved in high-level functions like perception and decision-making. However, neuroscientists know that the cortex is also closely connected with deeper brain regions, known as subcortical structures—which are involved in processes such as regulating body movement, emotion and learning stimulus-response behaviors—and these connections are overlooked by most artificial neural networks.
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