Articles with "neuron model" as a keyword



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A Phase Control Method for the Dynamical Attractor of the HR Neuron Model: The Rotation-Transition Process and Its Experimental Realization

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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
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Finite Volume Approximations for Size Structured Neuron Model

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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
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Strange nonchaotic dynamics in a discrete FitzHugh-Nagumo neuron model with sigmoidal recovery variable.

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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
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Adaptive synapse-based neuron model with heterogeneous multistability and riddled basins.

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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
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Memory-induced resonancelike suppression of spike generation in a resonate-and-fire neuron model.

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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
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Noise-induced spiking-bursting transition in the neuron model with the blue sky catastrophe.

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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
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FPGA-based experiments for demonstrating bi-stability in tabu learning neuron model

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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
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Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution

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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
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Ferroelectric FET-Based Implementation of FitzHugh-Nagumo Neuron Model

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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3101407

Abstract: Ferroelectric field-effect transistor (FeFET)-based circuit implementation mimicking FitzHugh-Nagumo neuron is proposed in this work. The proposed circuit is shown to mimic biological neuron properties, such as excitation block and anodal break excitation which are not… read more here.

Keywords: neuron; nagumo neuron; neuron model; fitzhugh nagumo ... See more keywords
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An Efficient Uniform-Segmented Neuron Model for Large-Scale Neuromorphic Circuit Design: Simulation and FPGA Synthesis Results

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Published in 2019 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2018.2889974

Abstract: Large-scale simulation of spiking neural networks on hardware with a remarkable resemblance to their mathematical models is a key objective of the neuromorphic discipline. This issue is, however, considerably resource-intensive due to the presence of… read more here.

Keywords: uniform segmented; model; large scale; neuron model ... See more keywords
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2-D Piecewise-Linear Neuron Model

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Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2020.3026702

Abstract: This brief presents a novel two-dimensional (2D) piecewise-linear neuron model to characterize the firing activities of a tabu learning neuron. The neuron model has an alterable equilibrium, and its bifurcation mechanism is effectively analyzed by… read more here.

Keywords: neuron model; linear neuron; piecewise linear; neuron ... See more keywords