Blockchain for COVID-19: review, opportunities, and a trusted tracking system
The sudden development of the COVID-19 pandemic has exposed the limitations in modern
healthcare systems to handle public health emergencies. It is evident that adopting …
healthcare systems to handle public health emergencies. It is evident that adopting …
Memristor-coupled asymmetric neural networks: Bionic modeling, chaotic dynamics analysis and encryption application
With the rapid development of artificial intelligence, it has important theoretical and practical
significance to construct neural network models and study their dynamical behaviors. This …
significance to construct neural network models and study their dynamical behaviors. This …
A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability
In this paper, a novel no-equilibrium Hindmarsh-Rose (HR) neuron model with memristive
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
Spiking neuron mathematical models: a compact overview
L Fortuna, A Buscarino - Bioengineering, 2023 - mdpi.com
The features of the main models of spiking neurons are discussed in this review. We focus
on the dynamical behaviors of five paradigmatic spiking neuron models and present recent …
on the dynamical behaviors of five paradigmatic spiking neuron models and present recent …
FPGA implementation and image encryption application of a new PRNG based on a memristive Hopfield neural network with a special activation gradient
F Yu, Z Zhang, H Shen, Y Huang, S Cai… - Chinese Physics B, 2022 - iopscience.iop.org
A memristive Hopfield neural network (MHNN) with a special activation gradient is proposed
by adding a suitable memristor to the Hopfield neural network (HNN) with a special …
by adding a suitable memristor to the Hopfield neural network (HNN) with a special …
Firing mechanism based on single memristive neuron and double memristive coupled neurons
H Shen, F Yu, C Wang, J Sun, S Cai - Nonlinear Dynamics, 2022 - Springer
Memristive neurons and memristive neural networks constructed based on memristors have
important research significance for revealing the mystery of the brain. This paper proposes a …
important research significance for revealing the mystery of the brain. This paper proposes a …
Hopfield neural network with multi-scroll attractors and application in image encryption
Z Hu, C Wang - Multimedia Tools and Applications, 2024 - Springer
Hopfield neural networks are favored by academia and industrial fields due to their
abundant dynamics. In this paper, the dynamical behavior of a small Hopfield neural …
abundant dynamics. In this paper, the dynamical behavior of a small Hopfield neural …
Discrete memristive neuron model and its interspike interval-encoded application in image encryption
Bursting is a diverse and common phenomenon in neuronal activation patterns and it
indicates that fast action voltage spiking periods are followed by resting periods. The …
indicates that fast action voltage spiking periods are followed by resting periods. The …
Dynamics explore of an improved HR neuron model under electromagnetic radiation and its applications
X An, L Xiong, Q Shi, S Qiao, L Zhang - Nonlinear Dynamics, 2023 - Springer
The influence of electromagnetic field to neuron firing rhythm is not negligible. In order to
investigate the behavior mechanism, a five-dimensional neuron model based on the …
investigate the behavior mechanism, a five-dimensional neuron model based on the …
Smart monitoring and controlling of appliances using LoRa based IoT system
In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home,
institute, or industry from a long distance with low power consumption remains challenging …
institute, or industry from a long distance with low power consumption remains challenging …