US Patent Issued to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY on May 27 for "Method and system for generating a dynamic addictive neural circuits based on weakly supervised contrastive learning" (Chinese Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,315,161, issued on May 27, was assigned to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY (Shenzhen, China).

"Method and system for generating a dynamic addictive neural circuits based on weakly supervised contrastive learning" was invented by Shuqiang Wang (Shenzhen, China) and Changwei Gong (Shenzhen, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and a system for generating a dynamic addictive neural circuit based on weakly supervised contrastive learning are disclosed. The method includes: based on a convolutional neural network, reducing a dimensionality of voxels of multiple groups of fMRI to attributes of brain region nodes, and genera...