Binary Electronic Synapses for Integrating Digital and Neuromorphic Computation in a Single Physical Platform
- Title
- Binary Electronic Synapses for Integrating Digital and Neuromorphic Computation in a Single Physical Platform
- Author
- 김태환
- Keywords
- binary electronic synapse; memristive device; digital computation; neuromorphic computation; cation drift
- Issue Date
- 2020-03
- Publisher
- AMER CHEMICAL SOC
- Citation
- ACS APPLIED MATERIALS & INTERFACES, v. 12, no. 14, page. 17130-17138
- Abstract
- As a promising advanced computation technology, the integration of digital computation with neuromorphic computation into a single physical platform holds the advantage of a precise, deterministic, fast data process as well as the advantage of a flexible, paralleled, fault-tolerant data process. Even though two-terminal memristive devices have been respectively proved as leading electronic elements for digital computation and neuromorphic computation, it is difficult to steadily maintain both sudden-state-change and gradual-state-change in a single device due to the entirely different operating mechanisms. In this work, we developed a digital-analog compatible memristive device, namely, binary electronic synapse, through realizing controllable cation drift in a memristive layer. The devices feature nonvolatile binary memory as well as artificial neuromorphic plasticity with high operation endurance. With strong nonlinearity in switching dynamics, binary switching, neuromorphic plasticity, two-dimension information store, and trainable memory can be implemented by a single device.
- URI
- https://pubs.acs.org/doi/10.1021/acsami.0c02145https://repository.hanyang.ac.kr/handle/20.500.11754/162316
- ISSN
- 1944-8244; 1944-8252
- DOI
- 10.1021/acsami.0c02145
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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