Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine-Facilitated Synaptic Activity

Seonggil Ham, Sanghyeon Choi, Haein Cho, Seok In Na, Gunuk Wang

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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 × 10 3 times lower than when the synaptic weights are updated by only high electrical pulses.

Original languageEnglish
Article number1806646
JournalAdvanced Functional Materials
Volume29
Issue number5
DOIs
Publication statusPublished - 2019 Feb 1

Fingerprint

synapses
dopamine
Perovskite
Photonics
learning
halides
Dopamine
photonics
plastic properties
Plasticity
Lighting
illumination
thresholds
programming
pulses
Iodine
pattern recognition
iodine
Pattern recognition
Vacancies

Keywords

  • dopamine
  • neuromorphic computing
  • organic synaptic devices
  • organolead halide perovskite
  • photonic artificial synapse

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics

Cite this

Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine-Facilitated Synaptic Activity. / Ham, Seonggil; Choi, Sanghyeon; Cho, Haein; Na, Seok In; Wang, Gunuk.

In: Advanced Functional Materials, Vol. 29, No. 5, 1806646, 01.02.2019.

Research output: Contribution to journalArticle

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