Chalcogenide ovonic threshold switching selector
Today's explosion of data urgently requires memory technologies capable of storing large
volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane …
volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane …
Memory devices for flexible and neuromorphic device applications
Recently, consumer electronics have moved toward data‐centric applications due to the
development of smart electronic devices. Moreover, electronic devices have become highly …
development of smart electronic devices. Moreover, electronic devices have become highly …
Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network
For the first time, a configurable NbOx memristor is achieved that can be configured as an
artificial synapse or neuron after fabrication by controlling the forming compliance current …
artificial synapse or neuron after fabrication by controlling the forming compliance current …
1T spiking neuron using ferroelectric junctionless FET with ultra-low energy consumption of 24 aJ/spike
In view of the soaring demand of highly scalable and energy-efficient neuron devices for
future neuromorphic computing, this work demonstrates a novel double-gate ferroelectric …
future neuromorphic computing, this work demonstrates a novel double-gate ferroelectric …
An artificial spiking afferent neuron system achieved by 1M1S for neuromorphic computing
Neuromorphic computing based on spiking neural networks (SNNs) has attracted significant
research interest due to its low energy consumption and high similarity to biological neural …
research interest due to its low energy consumption and high similarity to biological neural …
An energy‐efficient tunable threshold spiking neuron with excitatory and inhibitory function
MA Khanday, FA Khanday - International Journal of Numerical …, 2024 - Wiley Online Library
In this work, a complementary metal‐oxide‐semiconductor (CMOS) based leaky‐integrate
and fire neuron has been proposed and investigated for neuromorphic applications. The …
and fire neuron has been proposed and investigated for neuromorphic applications. The …
Design of a 180 nm CMOS Neuron Circuit with Soft‐Reset and Underflow Allowing for Loss‐Less Hardware Spiking Neural Networks
J Kim, JN Kim, Y Kim, S Hwang… - Advanced Intelligent …, 2024 - Wiley Online Library
Spiking neural networks (SNNs) have been researched as an alternative to reduce the gap
with the human brain in terms of energy efficiency, due to their inherent spare event‐driven …
with the human brain in terms of energy efficiency, due to their inherent spare event‐driven …
Insertion of Ag Layer in TiN/SiNx/TiN RRAM and Its Effect on Filament Formation Modeled by Monte Carlo Simulation
In this study, the electrical characteristics of TiN/SiNx/TiN and TiN/Ag/SiNx/TiN RRAMs were
thoroughly investigated through IV measurements. Our novel Ag-inserted silicon nitride …
thoroughly investigated through IV measurements. Our novel Ag-inserted silicon nitride …
A Single Schottky Barrier MOSFET-Based Leaky Integrate and Fire Neuron for Neuromorphic Computing
In this brief, a Schottky Barrier MOSFET (SB-MOSFET) based on Impact Ionization
mechanism is used to design a leaky integrate and fire (LIF) neuron with considerable …
mechanism is used to design a leaky integrate and fire (LIF) neuron with considerable …
Implementation of a neuron using sigmoid activation function with CMOS
S Xing, C Wu - 2020 IEEE 5th International Conference on …, 2020 - ieeexplore.ieee.org
A multi-input neuron circuit with high-precision Sigmoid activation function (AF) is presented
in this paper. The proposed circuit composed of input signal weighting circuit, current …
in this paper. The proposed circuit composed of input signal weighting circuit, current …