Two-terminal floating-gate transistors with a low-power memristive operation mode for analogue neuromorphic computing
Metal–oxide memristive integrated technologies for analogue neuromorphic computing
have undergone notable developments in the past decade, but are still not mature enough …
have undergone notable developments in the past decade, but are still not mature enough …
[HTML][HTML] Hot carrier injection reliability in nanoscale field effect transistors: Modeling and simulation methods
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 …
the Si-H or Si-O bond, thus affecting device performances such as threshold voltage and …
[HTML][HTML] Impact of synaptic device variations on pattern recognition accuracy in a hardware neural network
Neuromorphic systems (hardware neural networks) derive inspiration from biological neural
systems and are expected to be a computing breakthrough beyond conventional von …
systems and are expected to be a computing breakthrough beyond conventional von …
Crossbar-based memristive logic-in-memory architecture
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 …
logic computations, has drawn considerable attention from researchers in recent years …
Demonstration of unsupervised learning with spike-timing-dependent plasticity using a TFT-type NOR flash memory array
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 …
(TFT)-type NOR flash memory cell with a half-covered floating gate. The long-term …
Robustness analysis of a memristive crossbar PUF against modeling attacks
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 …
circuit counterfeiting, cloning, reverse engineering and piracy have emerged as critical …
RRAMedy: Protecting ReRAM-based neural network from permanent and soft faults during its lifetime
The emerging memristor technology is considered a promising solution to the edge-oriented
deep learning and neuromorphic processor chips because it enables power-efficient …
deep learning and neuromorphic processor chips because it enables power-efficient …
Operation scheme of multi-layer neural networks using NAND flash memory as high-density synaptic devices
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 …
a high-density and reliable synaptic device. Our operation scheme eliminates the waste of …
A simple memristive circuit for pattern classification based on reservoir computing
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 …
temporal signals. A reservoir computing system normally consists of a dynamic reservoir and …
[HTML][HTML] A split-gate positive feedback device with an integrate-and-fire capability for a high-density low-power neuron circuit
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 …
reported. However, conventional neuron circuits in SNNs have a large area and high power …