Organic Memristor-Based Flexible Neural Networks with Bio-Realistic Synaptic Plasticity for Complex Combinatorial Optimizationopen access
- Authors
- Kim, Hyeongwook; Kim, Miseong; Lee, Aejin; Park, Hea-Lim; Jang, Jaewon; Bae, Jin-Hyuk; Kang, In Man; Kim, Eun-Sol; Lee, Sin-Hyung
- Issue Date
- Jul-2023
- Publisher
- WILEY
- Keywords
- artificial synapse; combinatorial optimization; flexible neural network; organic memristor; synaptic plasticity
- Citation
- ADVANCED SCIENCE, v.10, no.19, pp.1 - 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- ADVANCED SCIENCE
- Volume
- 10
- Number
- 19
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191996
- DOI
- 10.1002/advs.202300659
- ISSN
- 2198-3844
- Abstract
- Hardware neural networks with mechanical flexibility are promising next-generation computing systems for smart wearable electronics. Several studies have been conducted on flexible neural networks for practical applications; however, developing systems with complete synaptic plasticity for combinatorial optimization remains challenging. In this study, the metal-ion injection density is explored as a diffusive parameter of the conductive filament in organic memristors. Additionally, a flexible artificial synapse with bio-realistic synaptic plasticity is developed using organic memristors that have systematically engineered metal-ion injections, for the first time. In the proposed artificial synapse, short-term plasticity (STP), long-term plasticity, and homeostatic plasticity are independently achieved and are analogous to their biological counterparts. The time windows of the STP and homeostatic plasticity are controlled by the ion-injection density and electric-signal conditions, respectively. Moreover, stable capabilities for complex combinatorial optimization in the developed synapse arrays are demonstrated under spike-dependent operations. This effective concept for realizing flexible neuromorphic systems for complex combinatorial optimization is an essential building block for achieving a new paradigm of wearable smart electronics associated with artificial intelligent systems.
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