The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
Memristor synapse-coupled piecewise-linear simplified Hopfield neural network: Dynamics analysis and circuit implementation
Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …
network caused by the existence of membrane potential difference. Memristor is the fourth …
Flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …
promising candidate for next‐generation wearable computing, soft robotics, and …
Neuro-inspired computing with emerging nonvolatile memorys
S Yu - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
This comprehensive review summarizes state of the art, challenges, and prospects of the
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
HATS: Histograms of averaged time surfaces for robust event-based object classification
A Sironi, M Brambilla, N Bourdis… - Proceedings of the …, 2018 - openaccess.thecvf.com
Event-based cameras have recently drawn the attention of the Computer Vision community
thanks to their advantages in terms of high temporal resolution, low power consumption and …
thanks to their advantages in terms of high temporal resolution, low power consumption and …
Chemical inductor
A multitude of chemical, biological, and material systems present an inductive behavior that
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …
Emerging neuromorphic devices
Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical
way, by enabling machine learning in the industry, business, health, transportation, and …
way, by enabling machine learning in the industry, business, health, transportation, and …
Learning through ferroelectric domain dynamics in solid-state synapses
In the brain, learning is achieved through the ability of synapses to reconfigure the strength
by which they connect neurons (synaptic plasticity). In promising solid-state synapses called …
by which they connect neurons (synaptic plasticity). In promising solid-state synapses called …
Sub-nanosecond memristor based on ferroelectric tunnel junction
Next-generation non-volatile memories with ultrafast speed, low power consumption, and
high density are highly desired in the era of big data. Here, we report a high performance …
high density are highly desired in the era of big data. Here, we report a high performance …