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Memristor-coupled dual-neuron map** model: initials-induced coexisting firing patterns and synchronization activities
Synaptic plasticity makes memristors particularly suitable for simulating the connection synapses between neurons that describe magnetic induction...
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Pruning and quantization algorithm with applications in memristor-based convolutional neural network
The human brain’s ultra-low power consumption and highly parallel computational capabilities can be accomplished by memristor-based convolutional...
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Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Brain-inspired neuromorphic computing has emerged as a promising solution to overcome the energy and speed limitations of conventional von Neumann...
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Exponential synchronization of quaternion-valued memristor-based Cohen–Grossberg neural networks with time-varying delays: norm method
In this paper, the exponential synchronization of quaternion-valued memristor-based Cohen–Grossberg neural networks with time-varying delays is...
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Dynamic analysis of FN–HR neural network coupled of bistable memristor and encryption application based on Fibonacci Q-Matrix
In this paper, a cosine hyperbolic memristor model is proposed with bistable asymmetric hysteresis loops. A neural network of coupled hyperbolic...
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Stability analysis of fractional order memristor synapse-coupled hopfield neural network with ring structure
A memristor is a nonlinear two-terminal electrical element that incorporates memory features and nanoscale properties, enabling us to design very...
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A novel memristive neuron model and its energy characteristics
The functional neurons are basic building blocks of the nervous system and are responsible for transmitting information between different parts of...
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Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction
Memristive electromagnetic induction effect has been widely explored in bi-neuron network with homogeneous neurons, but rarely in bi-neuron network...
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Dynamical effects of memristive electromagnetic induction on a 2D Wilson neuron model
Electromagnetic induction plays a crucial impact on the firing activity of biological neurons, since it exists along with the mutual effect between...
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Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks
Compared to artificial neural networks (ANNs), spiking neural networks (SNNs) present a more biologically plausible model of neural system dynamics....
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Three-dimensional memristive Morris–Lecar model with magnetic induction effects and its FPGA implementation
To characterize the magnetic induction flow induced by neuron membrane potential, a three-dimensional (3D) memristive Morris–Lecar (ML) neuron model...
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Memristive patch attention neural network for facial expression recognition and edge computing
Facial expression recognition has made a significant progress as a result of the advent of more and more convolutional neural networks (CNN)....
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Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model
Neurons can exhibit abundant electrical activities due to physical effects of various electrophysiology environments. The electromagnetic induction...
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Dynamic effect of electromagnetic induction on epileptic waveform
BackgroundElectromagnetic induction has recently been considered as an important factor affecting the activity of neurons. However, as an important...
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Memristive competitive hopfield neural network for image segmentation application
Image segmentation implementation provides simplified and effective feature information of image. Neural network algorithms have made significant...
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Finite-time and fixed-time stabilization of multiple memristive neural networks with nonlinear coupling
This brief presents the finite-time stabilization and fixed-time stabilization of multiple memristor-based neural networks (MMNNs) with nonlinear...
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Unraveling the dynamics of a flux coupled Chialvo neurons and the existence of extreme events
To illustrate the occurrences of extreme events in the neural system we consider a pair of Chialvo neuron maps. Importantly, we explore the dynamics...
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Memristive neural network circuit implementation of associative learning with overshadowing and blocking
In the field of second language acquisition, overshadowing and blocking by cue competition effects in classical conditioning affect the learning and...
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Applications of Nanotechnology in Converging the Biomarker Science for Advancement in Cancer Detection and Treatment
Cancer biomarkers with high selectivity, specificity, and reproducibility assume fundamental task in diagnosis, prognosis, and prediction of therapy...