Solution-processed oxide semiconductor-based artificial optoelectronic synapse array for spatiotemporal synaptic integration
Creators
- 1. School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419 (Korea, Republic of)
- 2. School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974 (Korea, Republic of)
- 3. Department of Medicine, University of Connecticut School of Medicine, Farmington, CT 06030 (United States)
- 4. SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419 (Korea, Republic of)
Description
Highlights: • An optoelectronic synapse array consisting of solution-processed IGZO synapse device is demonstrated. • The emulation of complex neural functions such as the spatiotemporal synaptic integration was carried out. • Synaptic functions such as short-term/long-term memorization and symmetric spike-timing dependent plasticity were mimicked. • A high recognition accuracy of handwritten digit images is obtained using the IGZO synapse devices. -- Abstract: Optoelectronic neuromorphic systems mimicking the structure and the signal processing of biological neural systems have gained significant interest due to their potential advantages such as high computing speed, high bandwidth, parallel processing, and low power requirements. Here, we demonstrate an optoelectronic synapse array consisting of solution-processed indium-gallium-zinc-oxide (IGZO) synapse devices emulating complex neural functions such as the spatiotemporal synaptic integration for neuromorphic implementation. Particularly, we adopted a vertically stacked metal-insulator-semiconductor-metal structure for IGZO synapse device to enable efficient light-induced conductance update and a low-voltage operation typically below 3 V. Using light as the stimulation, versatile synaptic functions including short-term memory/long-term memory, symmetric spike-timing dependent plasticity, and spike-number dependent plasticity were mimicked. In addition, we obtained a high recognition accuracy of handwritten digit images up to 89.4% by implementing ADAM training algorithm. Furthermore, using a crossbar structure 3 × 3 IGZO synapse array, the emulation of spatiotemporal summation was successfully carried out which is believed to be responsible for the neural encoding and the auditory recognition processes occur in the brain.
Additional details
Identifiers
- DOI
- 10.1016/j.jallcom.2020.158027;
- PII
- S0925838820343917;
Publishing Information
- Journal Title
- Journal of Alloys and Compounds
- Journal Volume
- 857
- Journal Page Range
- vp.
- ISSN
- 0925-8388
- CODEN
- JALCEU
INIS
- Country of Publication
- Switzerland
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55000953
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- PARALLEL PROCESSING; PLASTICITY; SEMICONDUCTOR MATERIALS; ZINC OXIDES
- Descriptors DEC
- CHALCOGENIDES; MATERIALS; MECHANICAL PROPERTIES; OXIDES; OXYGEN COMPOUNDS; PROGRAMMING; ZINC COMPOUNDS
Optional Information
- Copyright
- Copyright (c) 2020 Elsevier B.V. All rights reserved.