The hypothesis suggests that it helps the brain to better cope with our daily experiences.
Mexico City, May 29 (RT). – Square Neurology It is imbued with hypotheses Why Humans We dream. For decades, countless explanations have been proposed for this phenomenon, but the scientific community has yet to reach a consensus on the topic. Recently, Eric Hall, Research Assistant Professor of Neuroscience at Tufts University (USA), added his own theory to the list.
Published in the scientific journal Patterns – a drawing, Hoel’s hypothesis is inspired by technologies used to train deep AI neural networks and suggests that the weirdness of our dreams helps the brain better adapt to our everyday experiences.
“(The theory) assumes that the very experience of dreams is the cause of our dream,” says Hoyle.
To support this argument, Hoel relies on an AI training process. A common problem is that they become so familiar with training data and begin to assume that it is a perfect representation of everything they can find, as if there is absolutely nothing beyond what they are experiencing at the time. For this reason, scientists often mess up the data.
interesting. “… to the arts in general … a deeper fundamental cognitive benefit … by acting as artificial dreams.” Stressed Brain: Dreams Evolved to Help Circulate https://t.co/CIv720dBHm #brain #art #Dream # Neurology #writing
Gunnar de Winter (evolveon) May 21, 2021
For example, it causes black dots to suddenly appear on the interior screen of a self-driving car. A vehicle that “sees” random black dots on the screen and is able to focus on general details of its surroundings, rather than the specifics of a specific driving experience, will have a greater response and may understand better. Experience.
Remember that what originally inspired the creation of deep neural networks was the human brain itself, so using them to explain this sleep theory would be appropriate.
According to Hill, dreams make our understanding of the world less simple and more complete, because our brains, like deep neural networks, also become very familiar with “training data” in our daily lives. To counteract familiarity, the brain creates an alien version of the world in dreams.
“It is the weirdness of dreams that gives them their biological function,” he concluded.
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