Nanoelectronic synaptic devices and materials for brain-inspired computational architectures

To realize extreme-scale neuromorphic computation inspired by a biological brain, there is a need to develop two-terminal reconfigurable devices that can mimic the low-power specifications and scalability of a biological synapse. This paper discusses the synaptic characteristics of doped transition metal oxide based two-terminal devices. Spike-frequency dependent augmentation in conductance was observed. In addition, the devices could be reconfigured to different conductance states by changing the input pulse-width. This characteristic was used to demonstrate spike-timing dependent plasticity (STDP). The mechanism of reconfiguration is also briefly discussed.