ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,769,992, issued on Oct. 20, was assigned to Washington University (St. Louis).
"Method for designing scalable and energy-efficient analog neuromorphic processors" was invented by Shantanu Chakrabartty (St. Louis) and Ahana Gangopadhyay (St. Louis).
According to the abstract* released by the U.S. Patent & Trademark Office: "A spiking neural network includes a plurality of neurons implemented in respective circuits. Each neuron produces a continuous-valued membrane potential according to a Growth Transform bounded by an extrinsic energy constraint. The continuous-valued membrane potential is defined as a function of spiking current received from another neuron in the plurality of neuro...