Method and apparatus with artificial network generation and/or implementation corresponding to a natural neural network

An electronic device comprising:

• a crossbar memory having first electrodes, including a first electrode, that overlap second electrodes, including a second electrode, of the crossbar memory at respective cross points of the crossbar memory, with the first electrode and the second electrode overlapping to respectively connect to a first memory at a first cross point of the crossbar memory;
• and
• a processor configured to:
• control a provision of an action potential (AP) of a first biological neuron to the first electrode, and a provision of a post-synaptic potential (PSP) of a second biological neuron to the second electrode, to selectively adjust, based on a firing time difference between the AP of the first biological neuron and the PSP of the second biological neuron, a first conductance value of the first memory;
• adjust the firing time difference based on the PSP of a second biological neuron;
• and
• control another provision of the AP of the first biological neuron to the first electrode and the PSP of the second biological neuron to the second electrode, having the adjusted firing time difference between the AP of the first biological neuron and the PSP of the second biological neuron, to selectively adjust a second conductance value of the first memory.

A method with artificial neural network generation, the method comprising:

• obtaining action potentials (APs) of a first biological neuron of a natural neural network and post-synaptic potentials (PSPs) of a second biological neuron of the natural neural network;
• determining a first conductance value of a first cross point memory corresponding to the first and second biological neurons, as a first mode;
• determining a second conductance value of a second cross point memory corresponding to the first and second biological neurons, as a second mode;
• and
• determining a final conductance value of a final cross point memory based on at least one of the first conductance value and the second conductance value,
• wherein the determining of the first conductance value comprises:
• adjusting, based on a firing time difference between an AP of the first biological neuron and a PSP of the second biological neuron, a conductance value of the first cross point memory;
• adjusting the firing time difference based on the PSP of the second biological neuron;
• and
• controlling another firing time difference between the AP of the first biological neuron and the PSP of the second biological neuron to be the adjusted firing time difference, and based on the controlled other firing time difference, adjusting another conductance value of the first cross point memory, to be the first conductance value, and
• wherein the determining of the second conductance value comprises counting a number of pairs, of the PSPs of the second biological neuron and the APs of the first biological neuron, that have respective firing times within a first threshold, and selectively adjusting a conductance value of the second cross point memory based on the counted number of pairs, to be the second conductance value.

An electronic device comprising:

• a crossbar memory having first electrodes, including a first electrode, that overlap second electrodes, including a second electrode, of the crossbar memory at respective cross points of the crossbar memory, with the first electrode and the second electrode overlapping to respectively connect to a first memory corresponding to a first cross point of the crossbar memory;
• and
• a processor configured to:
• obtain action potentials (APs) of a first biological neuron of a natural neural network and post-synaptic potentials (PSPs) of a second biological neuron of the natural neural network;
• determine a first conductance value of a first cross point memory corresponding to the first and second biological neurons, as a first mode;
• determine a second conductance value of a second cross point memory corresponding to the first and second biological neurons, as a second mode;
• and
• determine a final conductance value of a final cross point memory based on at least one of the first conductance value and the second conductance value.