Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing
Korea Advanced Institute of Science and Technology
Abstract
Neuromorphic computing, a computing paradigm inspired by the human brain, enables energy-efficient and fast artificial neural networks. To process information, neuromorphic computing directly mimics the operation of biological neurons in a human brain. To effectively imitate biological neurons with electrical devices, memristor-based artificial neurons attract attention because of their simple structure, energy efficiency, and excellent scalability. However, memristor's non-reliability issues have been one of the main obstacles for the development of memristor-based artificial neurons and neuromorphic computings. Here, we show a memristor 1R cross-bar array without transistor devices for individual memristor…
Citation impact
- FWCI
- 25.85
- Percentile
- 100%
- References
- 46
Authors
5- SPSee‐On ParkCorresponding
Korea Advanced Institute of Science and Technology
- HJHakcheon Jeong
Korea Advanced Institute of Science and Technology
- JPJongyong Park
Korea Advanced Institute of Science and Technology
- JBJongmin Bae
Korea Advanced Institute of Science and Technology
- SCShinhyun Choi
Korea Advanced Institute of Science and Technology
Topics & keywords
- Neuromorphic engineering
- Memristor
- Computer science
- Scalability
- Artificial neural network
- Reliability (semiconductor)
- Artificial intelligence
- Computer architecture
- Affordable and clean energy