A system, method and computer program product for producing spike-dependent plasticity in an artificial synapse is disclosed. According to one embodiment, a method for producing spike-dependent plasticity in an artificial neuron comprises generating a pre-synaptic spiking event in a first neuron when a total integrated input to the first neuron exceeds a first predetermined threshold. A post-synaptic spiking event is generated in a second neuron when a total integrated input to the second neuron exceeds a second predetermined threshold. After the pre-synaptic spiking event, a first pulse is applied to a pre-synaptic node of a synapse having a phase change memory element. After the post-synaptic spiking event, a second varying pulse is applied to a post-synaptic node of the synapse, wherein current through the synapse is a function of the state of the second varying pulse at the time of the first pulse.
ELECTRONIC LEARNING SYNAPSE WITH SPIKE-TIMING DEPENDENT PLASTICITY USING PHASE CHANGE MEMORY