Patent ID: 11900245
Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for training a neural network model, the method comprising:
classifying inputs using input layer-to-hidden layer connections of the neural network model;
based on the input classifications, making decisions using hidden layer-to-output layer connections of the neural network model;
responsive to the input classifying, modulating the input layer-to-hidden layer connections using non-rewarded spike time dependent plasticity (STDP) signals;
responsive to the decision making, modulating the hidden layer-to-output layer connections using rewarded STDP signals; and
responsive to the modulation of the input layer-to-hidden layer connections and hidden layer-to-output layer connections, reiterating the input classifying of the input layer-to-hidden layer connections and the decision making of the hidden layer-to-output layer connections.