Biological UV Photoreceptors‐Inspired Sn‐Doped Polycrystalline <i>β</i>‐Ga₂O₃ Optoelectronic Synaptic Phototransistor for Neuromorphic Computing

In this study, the authors fabricate Sn-doped 100-nm thick polycrystalline β-Ga2O3 synaptic field-effect transistors (FETs) emulating optical and electrical spike stimulation. When stimulated by deep ultraviolet (UV) spikes or electric voltage at gate, devices exhibit several essential functions of excitatory-postsynaptic currents (EPSCs), inhibitory-postsynaptic (IPSCs), paired-pulse facilitation (PPF), spike-number-dependent plasticity (SNDP), spike-timing-dependent (STDP). Following UV stimulation, mimic with a photogate effect, gate stimulation emulates weights according to state dielectric interface. The FET demonstrates synergistic in various optoelectronic modes successfully mimics visual memory formation bees photoreceptors. Moreover, verify translation optoelectrical-derived behaviors FETs into artificial neuromorphic computing, handwritten digit image recognition Modified National Institute Standards Technology dataset is performed using convolutional neural network, learning accuracy 96.92% achieved. realization these fundamental biological synapses suggests utility Ga2O3-based for next-generation computing.