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Artificial synapse is the key element for neuromorphic systems. Recently, synaptic transistors have been proposed and investigated, but physical understanding of such synaptic devices based on ion/electron electrostatic coupling effect remains unknown. Here, laterally coupled InGaZnO4electric-double-layer synaptic transistors were numerically simulated. An ion drift-diffusion model is employed to describe the laterally capacitive coupling of the proton conducting electrolyte. Important synaptic behaviors, such as excitatory postsynaptic current and paired-pulse facilitation, are mimicked by the transient solution. InGaZnO4synaptic device exhibits an extremely low-power consumption of ~0.2 pJ/spike. Our simulation results are interesting for energy-efficient synaptic electronics and neuromorphic systems.
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Wan et al. (2015) studied this question.
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