pattern recognition

The pattern recognition that allows AI to learn is based on something called Hebbian-style synaptic plasticity, based on Donald Hebb's idea that learning arises through repeated use of the same connections between neurons in the brain: repeated activation strengthens the efficiency of cells firing together.

“Research has revealed that these neurotypes often come with distinct strengths, including exceptional pattern recognition, hyperfocus abilities, creative problem-solving, and innovative thinking.”

Plus, their challenges with pattern recognition give them trouble relating past experiences to new situations.

The research will be presented at the Conference on Computer Vision and Pattern Recognition.

The pattern recognition goes beyond what humans could do through database inquiries or other standard methods, Gerber said.