A review of Mott insulator in memristors: The materials, characteristics, applications for future computing systems and neuromorphic computing

Y Ran, Y Pei, Z Zhou, H Wang, Y Sun, Z Wang, M Hao… - Nano Research, 2023 - Springer
Mott insulator material, as a kind of strongly correlated electronic system with the
characteristic of a drastic change in electrical conductivity, shows excellent application …

A dual‐organic‐transistor‐based tactile‐perception system with signal‐processing functionality

Y Zang, H Shen, D Huang, CA Di, D Zhu - Advanced Materials, 2017 - Wiley Online Library
Organic‐device‐based tactile‐perception systems can open up new opportunities for the
next generation of intelligent products. To meet the critical requirements of artificial …

Synaptic metaplasticity realized in oxide memristive devices.

ZH Tan, R Yang, K Terabe, XB Yin… - … (Deerfield Beach, Fla.), 2015 - europepmc.org
Metaplasticity, a higher order of synaptic plasticity, as well as a key issue in neuroscience, is
realized with artificial synapses based on a WO3 thin film, and the activity-dependent …

[HTML][HTML] Coupling resistive switching devices with neurons: state of the art and perspectives

A Chiolerio, M Chiappalone, P Ariano… - Frontiers in …, 2017 - frontiersin.org
Here we provide the state-of-the-art of bioelectronic interfacing between biological neuronal
systems and artificial components, focusing the attention on the potentiality offered by …

A hybrid CMOS-memristor neuromorphic synapse

MR Azghadi, B Linares-Barranco… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Although data processing technology continues to advance at an astonishing rate,
computers with brain-like processing capabilities still elude us. It is envisioned that such …

Designing High‐Performance Storage in HfO2/BiFeO3 Memristor for Artificial Synapse Applications

L Liu, W Xiong, Y Liu, K Chen, Z Xu… - Advanced Electronic …, 2020 - Wiley Online Library
HfO2‐based memristors that remembers the history of the current that has passed through
them have attracted great interest for use as artificial synapses in neuromorphic systems …

Mimicking biological synaptic functionality with an indium phosphide synaptic device on silicon for scalable neuromorphic computing

D Sarkar, J Tao, W Wang, Q Lin, M Yeung, C Ren… - ACS …, 2018 - ACS Publications
Neuromorphic or “brain-like” computation is a leading candidate for efficient, fault-tolerant
processing of large-scale data as well as real-time sensing and transduction of complex …

A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors

B Dang, Q Wu, F Song, J Sun, M Yang, X Ma, H Wang… - Nanoscale, 2018 - pubs.rsc.org
Physically transient electronic devices that can disappear on demand have great application
prospects in the field of information security, implantable biomedical systems, and …

[HTML][HTML] Stochastic memristive interface for neural signal processing

SA Gerasimova, AI Belov, DS Korolev, DV Guseinov… - Sensors, 2021 - mdpi.com
We propose a memristive interface consisting of two FitzHugh–Nagumo electronic neurons
connected via a metal–oxide (Au/Zr/ZrO2 (Y)/TiN/Ti) memristive synaptic device. We create a …

[HTML][HTML] Synaptic plasticity and preliminary-spike-enhanced plasticity in a CMOS-compatible Ta2O5 memristor

HG Hwang, JU Woo, TH Lee, SM Park, TG Lee… - Materials & Design, 2020 - Elsevier
An artificial synapse that can perform both learning and memory functions was realized
using an amorphous Ta 2 O 5 memristor. A Pt/Ta 2 O 5/TiN memristor, with an amorphous …