[HTML][HTML] A review of algorithms and hardware implementations for spiking neural networks

DA Nguyen, XT Tran, F Iacopi - Journal of Low Power Electronics and …, 2021 - mdpi.com
Deep Learning (DL) has contributed to the success of many applications in recent years.
The applications range from simple ones such as recognizing tiny images or simple speech …

Locally active memristor-based neuromorphic circuit: Firing pattern and hardware experiment

Q Xu, Y Wang, HHC Iu, N Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Analog circuit implementation of neuron model is an essential category of neuromorphic
circuit since it can reproduce neuron firing patterns and assist in exploring neuron-based …

Initial-offset-boosted coexisting hyperchaos in a 2D memristive Chialvo neuron map and its application in image encryption

Q Xu, L Huang, N Wang, H Bao, H Wu, M Chen - Nonlinear Dynamics, 2023 - Springer
Designing a low-dimensional discrete map to generate chaotic sequence with the properties
of high randomness and without chaos degradation is an attractive but challenging issue …

Firing pattern in a memristive Hodgkin–Huxley circuit: Numerical simulation and analog circuit validation

Q Xu, Y Wang, B Chen, Z Li, N Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
Spiking firing patterns and their hardware implementation can assist us in exploring spike-
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …

Bursting and spiking activities in a Wilson neuron circuit with memristive sodium and potassium ion channels

Q Xu, K Wang, M Chen, F Parastesh, N Wang - Chaos, Solitons & Fractals, 2024 - Elsevier
The marvelous Wilson neuron model involves sodium and potassium ion currents, which
offer great significance in generating firing activities. This paper firstly deduces that the …

Memristive electromagnetic induction effects on Hopfield neural network

C Chen, F Min, Y Zhang, B Bao - Nonlinear Dynamics, 2021 - Springer
Due to the existence of membrane potential differences, the electromagnetic induction flows
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …

Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit

Q Xu, Y Wang, H Wu, M Chen, B Chen - Chaos, Solitons & Fractals, 2024 - Elsevier
Abstract The famous Hodgkin-Huxley circuit contains two time-varying resistors to describe
the electrophysiological characteristics of sodium and potassium ion channels. But the time …

A universal configuration framework for mem-element-emulator-based bionic firing circuits

Q Xu, X Ding, B Chen, F Parastesh… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Bionic firing circuits are beneficial for bionic hardware applications. It is an attractive but
challenging task to design a simple bionic firing circuit to generate spiking and bursting …

Digital hardware implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley neuron models with high accuracy and low resources

M Ghanbarpour, A Naderi, B Ghanbari… - … on Circuits and …, 2023 - ieeexplore.ieee.org
The neuron can be called the main cell of a nervous system that can transmit messages from
one neuron to another neuron or another cell through electrical signals. In neuromorphic …

Investigation on vision system: Digital FPGA implementation in case of retina rod cells

M Ghanbarpour, S Haghiri, F Hazzazi… - … Circuits and Systems, 2023 - ieeexplore.ieee.org
The development of prostheses and treatments for illnesses and recovery has recently been
centered on hardware modeling for various delicate biological components, including the …