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

Claim 12:
13. Non-transitory computer-readable medium storing instructions, which when executed by one or more processing resources, cause the one or more processing resources to:
classify inputs using input layer-to-hidden layer connections of a neural network model;
based on the input classifications, make decisions using hidden layer-to-output layer connections of the neural network model;
responsive to the input classifying, modulate the input layer-to-hidden layer connections using non-rewarded spike time dependent plasticity (STDP) signals;
responsive to the decision making, modulate 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, reiterate the input classifying of the input layer-to-hidden layer connections and the decision making of the hidden layer-to-output layer connections;
wherein:
the neural network model further comprises an input layer, a plurality of hidden layers, and an output layer, and
the input layer-to-hidden layer connections connect the input layer to a first hidden layer of the plurality of hidden layers and the hidden layer-to-output layer connections connect a second hidden layer of the plurality of hidden layers to the output layer.