Open AccessComplementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
Author(s) -
Rahimi Azghadi Mostafa,
Chen Ying-Chen,
Eshraghian Jason K.,
Chen Jia,
Lin Chih-Yang,
Amirsoleimani Amirali,
Mehonic Adnan,
Kenyon Anthony J.,
Fowler Burt,
Lee Jack C.,
Chang Yao-Feng
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202070050
Subject(s) - neuromorphic engineering , mnist database , cmos , memristor , computer architecture , computer science , electronic engineering , computer hardware , embedded system , artificial intelligence , artificial neural network , engineering
Neuromorphic Computing In article number 1900189 , Mostafa Rahimi Azghadi, Yao‐Feng Chang, and co‐workers discuss challenges and opportunities and shed light on recent advances in CMOS, SiO x ‐based memristive, and mixed CMOS‐memristive hardware for neuromorphic systems. New and published results are provided from various devices that are developed to replicate selected functions of neurons, synapses, and simple spiking networks, which are used for MNIST and pattern classification.