Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

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 …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Volatile and nonvolatile memristive devices for neuromorphic computing

G Zhou, Z Wang, B Sun, F Zhou, L Sun… - Advanced Electronic …, 2022 - Wiley Online Library
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Artificial skin perception

M Wang, Y Luo, T Wang, C Wan, L Pan… - Advanced …, 2021 - Wiley Online Library
Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Emerging memristive artificial synapses and neurons for energy‐efficient neuromorphic computing

S Choi, J Yang, G Wang - Advanced Materials, 2020 - Wiley Online Library
Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

A review of artificial spiking neuron devices for neural processing and sensing

JK Han, SY Yun, SW Lee, JM Yu… - Advanced Functional …, 2022 - Wiley Online Library
A spiking neural network (SNN) inspired by the structure and principles of the human brain
can significantly enhance the energy efficiency of artificial intelligence computing by …

A memristive neuron and its adaptability to external electric field

F Yang, Y Xu, J Ma - Chaos: An Interdisciplinary Journal of Nonlinear …, 2023 - pubs.aip.org
Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …

Flexible artificial sensory systems based on neuromorphic devices

F Sun, Q Lu, S Feng, T Zhang - ACS nano, 2021 - ACS Publications
Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …