Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
Mostafa Rahimi Azghadi, Ying‐Chen Chen, Jason K. Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonić, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao‐Feng Chang
Abstract
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, SiOx-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.
Topics & Concepts
Neuromorphic engineeringMNIST databaseCMOSMemristorComputer architectureComputer scienceElectronic engineeringComputer hardwareEmbedded systemArtificial intelligenceArtificial neural networkEngineeringAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsPhotoreceptor and optogenetics research