Unknown

Dataset Information

Memristive and CMOS Devices for Neuromorphic Computing.


ABSTRACT: Neuromorphic computing has emerged as one of the most promising paradigms to overcome the limitations of von Neumann architecture of conventional digital processors. The aim of neuromorphic computing is to faithfully reproduce the computing processes in the human brain, thus paralleling its outstanding energy efficiency and compactness. Toward this goal, however, some major challenges have to be faced. Since the brain processes information by high-density neural networks with ultra-low power consumption, novel device concepts combining high scalability, low-power operation, and advanced computing functionality must be developed. This work provides an overview of the most promising device concepts in neuromorphic computing including complementary metal-oxide semiconductor (CMOS) and memrist

SUBMITTER: Milo V 

PROVIDER: S-EPMC6981548 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature