Y Wang, Y Li, Y Yang, W Chen - Electronics, 2022 - mdpi.com
Hot carrier injection (HCI) can generate interface traps or oxide traps mainly by dissociating the Si-H or Si-O bond, thus affecting device performances such as threshold voltage and …
S Kim, M Lim, Y Kim, HD Kim, SJ Choi - Scientific reports, 2018 - nature.com
Neuromorphic systems (hardware neural networks) derive inspiration from biological neural systems and are expected to be a computing breakthrough beyond conventional von …
G Papandroulidakis, I Vourkas… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
The use of memristors and resistive random access memory (ReRAM) technology to perform logic computations, has drawn considerable attention from researchers in recent years …
CH Kim, S Lee, SY Woo, WM Kang… - … on Electron Devices, 2018 - ieeexplore.ieee.org
We investigate the characteristics of a synaptic imitation device using a thin-film transistor (TFT)-type NOR flash memory cell with a half-covered floating gate. The long-term …
M Uddin, MB Majumder… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In the greater context of computer security, hardware security issues such as integrated circuit counterfeiting, cloning, reverse engineering and piracy have emerged as critical …
W Li, Y Wang, H Li, X Li - 2019 IEEE 37th International …, 2019 - ieeexplore.ieee.org
The emerging memristor technology is considered a promising solution to the edge-oriented deep learning and neuromorphic processor chips because it enables power-efficient …
ST Lee, S Lim, NY Choi, JH Bae… - IEEE Journal of the …, 2019 - ieeexplore.ieee.org
We propose a designing of multi-layer neural networks using 2D NAND flash memory cell as a high-density and reliable synaptic device. Our operation scheme eliminates the waste of …
Reservoir computing is a machine learning framework suited for pattern recognition of temporal signals. A reservoir computing system normally consists of a dynamic reservoir and …
KB Choi, SY Woo, WM Kang, S Lee, CH Kim… - Frontiers in …, 2018 - frontiersin.org
Hardware-based spiking neural networks (SNNs) to mimic biological neurons have been reported. However, conventional neuron circuits in SNNs have a large area and high power …