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Simulated system could help develop better artificial intelligence, treatments for brain disorders

Teaching artificial intelligence to adapt


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. ....

United States , Hava Siegelmann , Ben Tsuda , Terrence Sejnowski , Office Of Naval Research , Kavli Institute For Brain , Salk Computational Neurobiology Laboratory , Proceedings Of The National Academy Sciences , University Of Massachusetts Amherst , National Science Foundation , Salk Systems Neurobiology Laboratory , Computational Neurobiology Laboratory , National Academy , Wisconsin Card Sorting , Wisconsin Card Sorting Task , Kay Tye , Systems Neurobiology Laboratory , Wylie Vale , Massachusetts Amherst , Kavli Institute , Naval Research , ஒன்றுபட்டது மாநிலங்களில் , அலுவலகம் ஆஃப் கடற்படை ஆராய்ச்சி , கவிளி நிறுவனம் க்கு மூளை , சாள்க் கணக்கீட்டு நரம்பியல் ஆய்வகம் , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் மஹேர்ஸ்ட ,

Teaching artificial intelligence to adapt - Salk Institute for Biological Studies


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 ....

United States , Hava Siegelmann , Ben Tsuda , Terrence Sejnowski , Office Of Naval Research , Kavli Institute For Brain , Salk Computational Neurobiology Laboratory , Proceedings Of The National Academy Sciences , University Of Massachusetts Amherst , National Science Foundation , Salk Systems Neurobiology Laboratory , Computational Neurobiology Laboratory , National Academy , Wisconsin Card Sorting , Wisconsin Card Sorting Task , Kay Tye , Systems Neurobiology Laboratory , Wylie Vale , Massachusetts Amherst , Kavli Institute , Naval Research , ஒன்றுபட்டது மாநிலங்களில் , அலுவலகம் ஆஃப் கடற்படை ஆராய்ச்சி , கவிளி நிறுவனம் க்கு மூளை , சாள்க் கணக்கீட்டு நரம்பியல் ஆய்வகம் , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் மஹேர்ஸ்ட ,