Living brain cells playing ping-pong on a plate could reveal the mechanics of the mind

Scientists have created game opponents out of cells in the lab. The scientists then watched the mini-minds learn and practice the game on their own quickly and improve as they practiced. They were able to follow along by translating the cellular response into a visual depiction of the game that was very similar to the original. They call their system DishBrain, and they say it proves that the neurons in the dish can learn and display the basic signals of intelligence. The researchers detailed a new setting called synthetic biological intelligence (SBI) in a study published Wednesday in the journal Neuron. In the end, the authors say SBI could help unravel the long-standing mystery of brain mechanics and lead to better treatments for certain neurological conditions. “DishBrain provides a simpler approach to testing how the brain works and gaining insight into debilitating conditions like epilepsy and dementia,” said Hon Weng Chong, CEO of biotechnology startup Cortical Labs. . SBI can also provide an alternative to animal testing. , a way for scientists to study the viability of new drugs and treatments. “We now have, in principle, the ultimate biomimetic ‘sandbox’ where we can test the effects of drugs and genetic variations. This sandbox contains the exact same computing (neuron) elements found in your brain and mine. consists of.” Author: Professor of Theoretical Neuroscientist at University College London. Artificial versus biological intelligence Researchers have found that biological intelligence, known as living brain cells, behaves significantly differently than computers in terms of AI. “In the past, brain models were developed based on how computer scientists thought the brain worked,” says Brett Kagan, chief scientific officer at Cortical Labs and co-author of the study. It is based on our current understanding of But in reality, we don’t really understand how the brain works.” Interestingly, DishBrain naturally learned from its apparent tendency to act on its environment in a way that makes Pongs more predictable and less random. For example, DishBrain learned from Pong ” A successful return of “the ball” makes the system better able to predict where it will go next. If DishBrain fails, it loses points and starts a new point, such as the computer dropping the ball from a random starting position. DishBrain creates a feedback loop Because I use it, it seems to get better and better the more I play.” It’s surprising because you can’t teach this kind of self-organization. Simply because, unlike pets, these mini brains do not have a sense of reward. And punishment,” Friston adds. Now, Australian biotech startup Cortical Labs is researching a new generation of biological science to create a generalized form of SBI that could arrive before artificial general intelligence because of its inherent efficiency and evolutionary evolution. I am developing a computer chip. Advantages of biological systems.” “We know there is an evolutionary advantage that our brains are tuned over hundreds of millions of years for survival,” explains co-author Adeel Razi of Monash University. I think we’ve figured out where we can tap into incredibly powerful and cheap biological intelligence.” The researchers also tried the system in other simple games, Kagan said. We know when (Project Bolan).” “We’re trying to build a dose-response curve with ethanol,” Kagan said. Basically, it gets people ‘drunk’ and makes sure people aren’t playing better than they do when they’re drinking.” While looking forward to the results of the Drunk DishBrain study, keep drunk neurons away from the self-driving car code. let’s drop it
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