Various
memristor-based synaptic devices have been proposed for
implementing a neuromorphic system. However, memristor devices typically
suffer from various inherent problems such as nonlinearity and asymmetry
of conductance modulation and the sneak path issue of the crossbar
array structure. To solve these drawbacks, we propose a one transistor–two
memristor (1T2M) synaptic device, its array structure, and its operation
method for neuromorphic system applications. For the channel of the
transistor and switching layer of the memristor, amorphous InGaZnO
was used. The proposed 1T2M synaptic device exhibited more linear
and symmetric characteristics of conductance modulation compared with
the single memristor device. In addition, the proposed array structure
was robust to the sneak path problem. To investigate the switching
mechanism, a depth profile analysis of X-ray photoelectron spectroscopy
was conducted for each resistance state. Finally, we confirmed an
excellent pattern recognition accuracy by using an artificial neural
network simulation.