The ability of high-order tuning of the synaptic plasticity in an artificial synapse can offer significant improvement in the processing time, low-power recognition, and learning capability in a neuro-inspired computing system. Inspired by light-assisted dopamine-facilitated synaptic activity, which achieves rapid learning and adaptation by lowering the threshold of the synaptic plasticity, a two-terminal organolead halide perovskite (OHP)-based photonic synapse is fabricated and designed in which the synaptic plasticity is modified by both electrical pulses and light illumination. Owing to the accelerated migration of the iodine vacancy inherently existing in the coated OHP film under light illumination, the OHP synaptic device exhibits light-tunable synaptic functionalities with very low programming inputs (≈0.1 V). It is also demonstrated that the threshold of the long-term potentiation decreases and synaptic weight further modulates when light illuminates the device, which is phenomenologically analogous to the dopamine-assisted synaptic process. Notably, under light exposure, the OHP synaptic device achieves rapid pattern recognition with ≈81.8% accuracy after only 2000 learning phases (60 000 learning phases = one epoch) with a low-power consumption (4.82 nW/the initial update for potentiation), which is ≈2.6 × 103 times lower than when the synaptic weights are updated by only high electrical pulses.
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF-2016R1C1B2007330), KU-KIST Research Fund, Samsung Electronics, and a Korea University Future Research Grant.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
- neuromorphic computing
- organic synaptic devices
- organolead halide perovskite
- photonic artificial synapse
ASJC Scopus subject areas
- Materials Science(all)
- Condensed Matter Physics