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Memristive Hopfield neural network dynamics with heterogeneous activation functions and its application
Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …
networks. However, the exploration of neural networks composed of various activation …
Memristor synapse-coupled piecewise-linear simplified Hopfield neural network: Dynamics analysis and circuit implementation
Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …
network caused by the existence of membrane potential difference. Memristor is the fourth …
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
Symmetric multi-scroll attractors in magnetized Hopfield neural network under pulse controlled memristor and pulse current stimulation
Q Wan, F Li, S Chen, Q Yang - Chaos, Solitons & Fractals, 2023 - Elsevier
In this paper, a new method for generating symmetric multi-scroll attractors is proposed
based on a magnetized Hopfield neural network (HNN). Firstly, the mathematical model of …
based on a magnetized Hopfield neural network (HNN). Firstly, the mathematical model of …
A new class of Hopfield neural network with double memristive synapses and its DSP implementation
The nonlinear characteristics are studied in a new 4D Hopfield neural network model with
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
Focal and non-focal epilepsy localization: A review
The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which
has affected million people in the world. Hence, an early detection of the focal epileptic …
has affected million people in the world. Hence, an early detection of the focal epileptic …
Epilepsy as a dynamical disorder orchestrated by epileptogenic zone: a review
Epilepsy is a group of chronic neurological disorders characterized with recurrent and
hypersynchronous discharge. In the epileptic brain, epileptogenic zone (EZ) with abnormal …
hypersynchronous discharge. In the epileptic brain, epileptogenic zone (EZ) with abnormal …
An enhanced FitzHugh–Nagumo neuron circuit, microcontroller-based hardware implementation: light illumination and magnetic field effects on information patterns
This contribution introduced and investigated an improved photosensitive memristive
FitzHugh–Nagumo (FHN) neural circuit. The mathematical equations of the model have …
FitzHugh–Nagumo (FHN) neural circuit. The mathematical equations of the model have …
Coexistence of infinitely many patterns and their control in heterogeneous coupled neurons through a multistable memristive synapse
The phenomenon of hidden heterogeneous extreme multistability is rarely reported in
coupled neurons. This phenomenon is investigated in this contribution using a model of a …
coupled neurons. This phenomenon is investigated in this contribution using a model of a …
Multistable dynamics in a Hopfield neural network under electromagnetic radiation and dual bias currents
Q Wan, Z Yan, F Li, J Liu, S Chen - Nonlinear Dynamics, 2022 - Springer
This paper investigates a Hopfield neural network under the simulation of external
electromagnetic radiation and dual bias currents, in which the fluctuation of magnetic flux …
electromagnetic radiation and dual bias currents, in which the fluctuation of magnetic flux …