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 …
Ultra-low-voltage integrable electronic realization of integer-and fractional-order Liao's chaotic delayed neuron model
NA Kant, MR Dar, FA Khanday… - Circuits, Systems, and …, 2017 - Springer
The neurons are proven to show chaotic dynamical behavior, and due to this behavior, they
find applications in several fields. Recently, the chaotic behavior of the neuron model using …
find applications in several fields. Recently, the chaotic behavior of the neuron model using …
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 …
Ultra-low-voltage integrable electronic implementation of delayed inertial neural networks for complex dynamical behavior using multiple activation functions
FA Khanday, MR Dar, NA Kant, TZA Zulkifli… - Neural Computing and …, 2020 - Springer
Ultra-low-voltage sinh-domain implementation of delayed inertial neuron is introduced in
this paper. The complex dynamical behavior of the neuron has been verified using three …
this paper. The complex dynamical behavior of the neuron has been verified using three …
An ultra-low-voltage electronic implementation of inertial neuron model with nonmonotonous Liao's activation function
NA Kant, MR Dar, FA Khanday - Network: Computation in Neural …, 2015 - Taylor & Francis
The output of every neuron in neural network is specified by the employed activation
function (AF) and therefore forms the heart of neural networks. As far as the design of …
function (AF) and therefore forms the heart of neural networks. As far as the design of …
Low-voltage realization of neural networks using non-monotonic activation function for digital applications
FA Khanday, NA Kant, MR Dar - Recent Advances in Electrical …, 2018 - ingentaconnect.com
Background: The hardware implementation of neural networks has been the focus of the
researchers during the last few years. The main aim is to obtain all the features possessed …
researchers during the last few years. The main aim is to obtain all the features possessed …
Sinh-ortam süzgeçlerinin biyomedikal uygulama örneklerinin incelenmesi
Bu çalışmada sinh-ortam süzgeçlerinin biyomedikal uygulama örneklerinin bir incelemesi
sunulmaktadır. Gelişmiş ülkelerde yaşam standartlarının artması, düşük maliyetli ve pratik …
sunulmaktadır. Gelişmiş ülkelerde yaşam standartlarının artması, düşük maliyetli ve pratik …
Ultra-Low-Voltage Implementation of Neural Networks
FA Khanday, NA Kant, MR Dar - Energy Efficient Computing & …, 2019 - taylorfrancis.com
The concept of neural network is originated from neuroscience. The networks formed by
biological neurons, which are connected to carry out the functionalities typical of the nervous …
biological neurons, which are connected to carry out the functionalities typical of the nervous …