Deep Learning Neuromorphic Engineering
OwnerHarold Szuinventor
Life of this patent
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Abstract
A deep learning neuromorphic system includes an electronic circuit having input ports and an output port. The input ports are configured to receive differential photon detector outputs as circuit inputs. The electronic circuit is configured to apply unsupervised deep learning rules to the circuit inputs to provide a current mirror output. The output port is configured to provide the current mirror output to a plotter. A method of deep learning neuromorphic application includes receiving differential photon detector outputs as inputs to an electronic circuit. The electronic circuit applies unsupervised deep learning rules to the inputs to provide a current mirror output. The current mirror output is provided to a plotter.
Claims17
A deep learning neuromorphic system, comprising:
- an electronic circuit having input ports and an output port;
- wherein the input ports are configured to receive differential photon detector outputs as circuit inputs;
- wherein the electronic circuit is configured to apply unsupervised deep learning rules to the circuit inputs to provide a current mirror output;
- and
- wherein the output port is configured to provide the current mirror output to a plotter.
A method of deep learning neuromorphic application, comprising:
- to receiving differential photon detector outputs as inputs to an electronic circuit;
- applying, by the electronic circuit, unsupervised deep learning rules to the inputs to provide a current mirror output;
- and
- providing the current mirror output to a plotter.
Dependencies are inferred from the claim text.