Credit: L: Salk Institute; R: Courtesy of Robert Kim
LA JOLLA (December 17, 2020) If you ve ever forgotten something mere seconds after it was at the forefront of your mind the name of a dish you were about to order at a restaurant, for instance then you know how important working memory is. This type of short-term recall is how people retain information for a matter of seconds or minutes to solve a problem or carry out a task, like the next step in a series of instructions. But, although it s critical in our day-to-day lives, exactly how the brain manages working memory has been a mystery.
New model of brain activity could inform the design of improved artificial intelligence systems
Getting computers to think like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what s been learned. This ability to be adaptive has been hard to replicate in machines.
Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain s prefrontal cortex uses a phenomenon known as gating to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but could also inform the design of new artificial intelligence programs.
Simulated system could help develop better artificial intelligence, treatments for brain disorders techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.
Credit: Salk Institute
LA JOLLA (December 16, 2020) Getting computers to think like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what s been learned. This ability to be adaptive has been hard to replicate in machines.
Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain s prefrontal cortex uses a phenomenon known as gating to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but could also inform the design of new artificial intelligence programs.
Teaching artificial intelligence to adapt
Salk’s simulated system could help develop better artificial intelligence, treatments for brain disorders
Salk News
Salk’s simulated system could help develop better artificial intelligence, treatments for brain disorders
December 16, 2020
LA JOLLA Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what’s been learned. This ability to be adaptive has been hard to replicate in machines.
Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain’s prefrontal cortex uses a phenomenon known as “gating” to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but cou