Amanote Research
Register
Sign In
Memristor Synapses for Neuromorphic Computing
doi 10.5772/intechopen.85301
Full Text
Open PDF
Abstract
Available in
full text
Date
March 29, 2019
Authors
Sanghyeon Choi
Seonggil Ham
Gunuk Wang
Publisher
IntechOpen
Related search
Artificial Synapses: Low-Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing (Adv. Mater. 36/2018)
Advanced Materials
Mechanics of Materials
Materials Science
Nanotechnology
Mechanical Engineering
Nanoscience
Artificial Synapses: Dimensionality Dependent Plasticity in Halide Perovskite Artificial Synapses for Neuromorphic Computing (Adv. Electron. Mater. 9/2019)
Advanced Electronic Materials
Optical
Electronic
Magnetic Materials
Thermal Memristor and Neuromorphic Networks for Manipulating Heat Flow
AIP Advances
Nanotechnology
Astronomy
Physics
Nanoscience
Photonic Flash Memory: Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing (Adv. Mater. 38/2018)
Advanced Materials
Mechanics of Materials
Materials Science
Nanotechnology
Mechanical Engineering
Nanoscience
On the Way to a Neuromorphic Memristor Computer Platform
Nanoindustry Russia
Emerging Artificial Synaptic Devices for Neuromorphic Computing
Advanced Materials Technologies
Mechanics of Materials
Materials Science
Industrial
Manufacturing Engineering
CMOS and Memristive Hardware for Neuromorphic Computing
Advanced Intelligent Systems
Neuromorphic Computing: Designed Memristor Circuit for Self‐Limited Analog Switching and Its Application to a Memristive Neural Network (Adv. Electron. Mater. 6/2019)
Advanced Electronic Materials
Optical
Electronic
Magnetic Materials
Memristive Synapses for Brain-Inspired Computing
Advanced Materials Technologies
Mechanics of Materials
Materials Science
Industrial
Manufacturing Engineering
