Unsupervised learning of memristor crossbar neuromorphic processing systyems

An analog neuromorphic circuit that implements a plurality of resistive memories, comprising:

• a first memristor crossbar configuration that includes a first plurality of resistive memories that is configured to provide a first plurality of resistance values to each corresponding input voltage from a plurality of input voltages applied to the first memristor crossbar configuration to generate a first plurality of output voltages, wherein the first plurality of output voltages is compressed from the plurality of input voltages;
• a second memristor crossbar configuration that includes a second plurality of resistive memories that is configured to provide a second plurality of resistance values to each corresponding output voltage from the first plurality of output voltages generated from the first memristor crossbar configuration and applied to the second memristor crossbar configuration to generate a second plurality of output voltages, wherein the second plurality of output voltages is decompressed from the first plurality of output voltages;
• and
• a controller configured to:
• compare the second plurality of output voltages to the plurality of input voltages to determine if the second plurality of output voltages is within a threshold of the plurality of input voltages, and
• generate an alert when the second plurality of output voltages exceeds the threshold from the plurality of input voltages thereby indicating that input data associated with the plurality of input voltages has not been previously input into the analog neuromorphic circuit.