A Phase Control Method for the Dynamical Attractor of the HR Neuron Model: The Rotation-Transition Process and Its Experimental Realization
Sign Up to like & getrecommendations! Published in 2021 at "Neural Processing Letters"
DOI: 10.1007/s11063-021-10568-w
Abstract: Since the definitions of the biological neuron model are similar to the oscillator structures, many control theorems are used in common with the biological neuron model. While the stability and the synchronization etc. control methods… read more here.
Keywords: control; model; rotation transition; neuron model ... See more keywords
Finite Volume Approximations for Size Structured Neuron Model
Sign Up to like & getrecommendations! Published in 2017 at "Differential Equations and Dynamical Systems"
DOI: 10.1007/s12591-016-0276-z
Abstract: The objective of this paper is to present and analyze numerical approximation for the size structured neuron model. We propose finite volume approximations based on upwind and Lax–Wendroff for the partial differential equation originating in… read more here.
Keywords: structured neuron; finite volume; size structured; neuron model ... See more keywords
Strange nonchaotic dynamics in a discrete FitzHugh-Nagumo neuron model with sigmoidal recovery variable.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0089373
Abstract: We report the appearance of strange nonchaotic attractors in a discrete FitzHugh-Nagumo neuron model with discontinuous resetting. The well-known strange nonchaotic attractors appear in quasiperiodically forced continuous-time dynamical systems as well as in a discrete… read more here.
Keywords: nagumo neuron; strange nonchaotic; fitzhugh nagumo; neuron model ... See more keywords
Adaptive synapse-based neuron model with heterogeneous multistability and riddled basins.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0125611
Abstract: Biological neurons can exhibit complex coexisting multiple firing patterns dependent on initial conditions. To this end, this paper presents a novel adaptive synapse-based neuron (ASN) model with sine activation function. The ASN model has time-varying… read more here.
Keywords: neuron model; synapse based; asn model; adaptive synapse ... See more keywords
Parametric controllable planar multi-scroll chaotic attractors in a 3-D memristive tabu learning single neuron model
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad7067
Abstract: In this paper, a three-dimensional (3D) autonomous tabu learning single neuron model is proposed, which is achieved by using a sinusoidal activation function and introducing a memristor synapse. This model exhibits the remarkable capability to… read more here.
Keywords: scroll chaotic; single neuron; neuron model; multi scroll ... See more keywords
Discrete memristive chaotic neuron model with attractor growth and its applications
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/adfbac
Abstract: Due to their unique nonlinearity, memory capability, and plasticity, memristors have emerged as ideal devices for realizing synaptic coupling between neurons. However, the application of discrete memristor-coupled neuron models in image encryption has not yet… read more here.
Keywords: chaotic neuron; discrete memristive; memristive chaotic; neuron model ... See more keywords
Resonances in the voltage statistics and upcrossing rate of a minimal dendritic neuron model with a passive membrane.
Sign Up to like & getrecommendations! Published in 2025 at "Physical review. E"
DOI: 10.1103/physreve.111.054406
Abstract: A dendritic neuron model subject to spatiotemporal fluctuating synaptic drive and a pointlike oscillating current stimulation is considered. Unlike for dendritic models that are statistically homogeneous in space, this experimentally plausible scenario allows for the… read more here.
Keywords: rate; neuron model; model passive; dendritic neuron ... See more keywords
Memory-induced resonancelike suppression of spike generation in a resonate-and-fire neuron model.
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review E"
DOI: 10.1103/physreve.97.012125
Abstract: The behavior of a stochastic resonate-and-fire neuron model based on a reduction of a fractional noise-driven generalized Langevin equation (GLE) with a power-law memory kernel is considered. The effect of temporally correlated random activity of… read more here.
Keywords: memory exponent; fire neuron; neuron model; resonate fire ... See more keywords
Noise-induced spiking-bursting transition in the neuron model with the blue sky catastrophe.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review. E"
DOI: 10.1103/physreve.99.062408
Abstract: We study a special variant of the noise-induced transition between spiking and bursting regimes associated with the blue sky catastrophe bifurcation in the Hindmarsh-Rose neuron model. We show that in the parameter region close to… read more here.
Keywords: sky catastrophe; spiking bursting; blue sky; noise ... See more keywords
FPGA-based experiments for demonstrating bi-stability in tabu learning neuron model
Sign Up to like & getrecommendations! Published in 2020 at "Circuit World"
DOI: 10.1108/cw-12-2019-0189
Abstract: Purpose The purpose of this paper is to develop an field programmable gate array (FPGA)-based neuron circuit to mimic dynamical behaviors of tabu learning neuron model. Design/methodology/approach Numerical investigations for the tabu learning neuron model… read more here.
Keywords: learning neuron; tabu learning; neuron model; circuit ... See more keywords
Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004284
Abstract: Some recent research reports that a dendritic neuron model (DNM) can achieve better performance than traditional artificial neuron networks (ANNs) on classification, prediction, and other problems when its parameters are well-tuned by a learning algorithm.… read more here.
Keywords: network based; free network; dynamic scale; scale free ... See more keywords