
Neuromorphic Devices for Brain-inspired Computing
Description
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Persons
Yi Shi is a full professor of the school of Electronic Engineering, Nanjing University. He obtained Ph. D in Department of physics, Nanjing University in 1989. He has been visiting professor to Cambridge University, Tohoku University, and University of California (Berkeley). He has published over 300 articles on peer reviewed journals including Nature Commun., Nano Lett., Adv. Mater., and Appl. Phys. Lett. He was promoted to Changjiang Chair Professor in 2007, and is the principle scientist of several scientific research plans, such as the national basic research program of China. His research interests mainly focused on Nanoelectronics and Nanophotoelectronics.
Content
Memristive Devices
Resistive switching mechanisms
Memristive Bioinspired Devices
Memristive Neural Networks
Summary and Outlook
SPINTRONIC NEUROMORPHIC DEVICES
Spintronic Synapses
Spintronic Neurons
Implementation of Spintronic Neuromorphic Computing Systems
Summary and Outlook
MULTI-TERMINAL NEUROMORPHIC DEVICES WITH COGNITIVE BEHAVIORS
Introduction
Multi-Terminal Neuromorphic Memristors
Multi-Terminal Neuromorphic Transistors
Neuromorphic Transistors for Perception Learning Activities
Conclusion and Outlook
NEUROMORPHIC DEVICES BASED ON CHALCOGENIDE MATERIALS
Chalcogenide Materials
Nonvolatile Phase Change Memory Switching Mechanisms
Volatile Threshold Switching Mechanisms
Implementation of Artificial Synapses based on MS Effects
Implementation of Artificial Neurons based on TS Effects
Hardware Neural Networks
Summary and Outlook
NEUROMORPHIC DEVICES BASED ON ORGANIC MATERIALS
Two-Terminal Organic Neuromorphic Devices
Three-Terminal Organic Neuromorphic Devices
Innovative Applications of Organic Neuromorphic Devices for Artificial Sensory Systems
Summary and Outlook
NEUROMORPHIC COMPUTING SYSTEMS WITH EMERGING DEVICES
Introduction
Neuromorphic Devices
DNN based on Synaptic Devices
SNN based on Neuromorphic Devices
Other Systems based on Neuromorphic Devices
Summary and Outlook
NEUROMORPHIC PERCEPTUAL SYSTEMS WITH EMERGING DEVICES
Background
Sensation and Perception
Implementation of Artificial Perception
Summary and Outlook
System requirements
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