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Vertically Stackable Ovonic Threshold Switch Oscillator Using Atomic Layer Deposited Ge0.6Se0.4 Film for High-Density Artificial Neural Networks
Nanodevice oscillators (nano-oscillators) have received considerable attention to implement
in neuromorphic computing as hardware because they can significantly improve the device …
in neuromorphic computing as hardware because they can significantly improve the device …
Exploiting steep sub-threshold swing of tunnel FET for energy-efficient leaky integrate-and-fire neuron model
In this work, a single transistor (1-T) leaky-integrate-and-fire neuron based on band to band
tunneling mechanism is proposed with significant improvement in energy consumption and …
tunneling mechanism is proposed with significant improvement in energy consumption and …
Single SiGe transistor based energy-efficient leaky integrate-and-fire neuron for neuromorphic computing
This work aims to present a novel energy-efficient single transistor leaky integrate-and-fire
neuron for future neuromorphic computing. It comprises of a SiGe-based MOSFET, having …
neuron for future neuromorphic computing. It comprises of a SiGe-based MOSFET, having …
Highly biomimetic spiking neuron using SiGe heterojunction bipolar transistors for energy-efficient neuromorphic systems
We demonstrate a highly biomimetic spiking neuron capable of fast and energy-efficient
neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon …
neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon …
An energy‐efficient tunable threshold spiking neuron with excitatory and inhibitory function
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 …
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 …
A bio-inspired ferroelectric tunnel FET-based spiking neuron for high-speed energy efficient neuromorphic computing
In this study, a novel spiking neuron based on double-gate ferroelectric tunnel field effect
transistor (DG-FE-TFET) is proposed in the 50 nm technology node. Through calibrated …
transistor (DG-FE-TFET) is proposed in the 50 nm technology node. Through calibrated …
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 …
Design of leaky integrate and fire neuron for spiking neural networks using trench bipolar I-MOS
A Lahgere - IEEE Transactions on Nanotechnology, 2023 - ieeexplore.ieee.org
In this article, using calibrated 2-D TCAD simulations we report a trench Bipolar I-MOS for
the realization of a spiking neural network. We demonstrated that the proposed trench …
the realization of a spiking neural network. We demonstrated that the proposed trench …
Energy efficient artificial gustatory system for in-sensor computing
In this work, a novel bio-inspired artificial gustatory system is proposed for in-sensor
neuromorphic computing. The system is demonstrated using a novel material-engineered …
neuromorphic computing. The system is demonstrated using a novel material-engineered …