Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing.

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 access with low variation, 100% yield, large dynamic range, and fast speed for art

SUBMITTER: Park SO 

PROVIDER: S-EPMC9166790 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature