Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Autapse-induced logical resonance in the FitzHugh–Nagumo neuron

View through CrossRef
Abstract It was demonstrated that the chaos-driven FitzHugh–Nagumo (FHN) neuron can be considered as a logic system to implement the reliable logic operation through logical resonance. Signal transmission between neurons is dependent on an essential component called synapse. Autapse (meaning the self-synapse) widely exists in various kinds of neurons, and it significantly affects the neuronal dynamics and functionalities. However, the effects of autapse on logical resonance have not been reported yet. Here, we explore the effects of autapse on the reliability of logical operation based on the autaptic FHN neuron with time-dependent coupling intensity. Our results demonstrate that there are the optimal ranges of autaptic time delay τ, the amplitude and frequency of coupling intensity, and phase fluctuation at which the reliability of logical operation can be maximized. That is, autapse-induced logical resonance can be realized in the autaptic FHN neuron. More interestingly, multiple logical resonance can be observed by regulating time delay, frequency ratio between oscillating coupling intensity and external input, and phase fluctuation. The results presented here provide the novel phenomena, and may have implications in understanding the logic gate-like functionalities in the nervous systems.
Research Square Platform LLC
Title: Autapse-induced logical resonance in the FitzHugh–Nagumo neuron
Description:
Abstract It was demonstrated that the chaos-driven FitzHugh–Nagumo (FHN) neuron can be considered as a logic system to implement the reliable logic operation through logical resonance.
Signal transmission between neurons is dependent on an essential component called synapse.
Autapse (meaning the self-synapse) widely exists in various kinds of neurons, and it significantly affects the neuronal dynamics and functionalities.
However, the effects of autapse on logical resonance have not been reported yet.
Here, we explore the effects of autapse on the reliability of logical operation based on the autaptic FHN neuron with time-dependent coupling intensity.
Our results demonstrate that there are the optimal ranges of autaptic time delay τ, the amplitude and frequency of coupling intensity, and phase fluctuation at which the reliability of logical operation can be maximized.
That is, autapse-induced logical resonance can be realized in the autaptic FHN neuron.
More interestingly, multiple logical resonance can be observed by regulating time delay, frequency ratio between oscillating coupling intensity and external input, and phase fluctuation.
The results presented here provide the novel phenomena, and may have implications in understanding the logic gate-like functionalities in the nervous systems.

Related Results

Electronic Model of FitzHugh-Nagumo Neuron
Electronic Model of FitzHugh-Nagumo Neuron
For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested. One neuron can be easily modeled using numerical methods, but numerical modeling of the enti...
Solving Time-Fractional Fitzhugh–Nagumo Equation using Homotopy Perturbation Method
Solving Time-Fractional Fitzhugh–Nagumo Equation using Homotopy Perturbation Method
Objectives: This study aims to explore solutions to the time-fractional Fitzhugh-Nagumo equation, a nonlinear reaction-diffusion equation. Method: We utilize the Homotopy Perturbat...
Switchable memristor-based Hindmarsh-Rose neuron under electromagnetic radiation
Switchable memristor-based Hindmarsh-Rose neuron under electromagnetic radiation
Abstract Memristors are prevalently used to simulate biological neuronal synapses due to their unique memductance plasticity and memory effects. A new switchable memristor,...
Synchronization for Fractional FitzHugh-Nagumo Equations with Fractional Brownian Motion
Synchronization for Fractional FitzHugh-Nagumo Equations with Fractional Brownian Motion
This paper is devoted to the study of Caputo-type fractional FitzHugh-Nagumo equations driven by fractional Brownian motion (fBm). We establish the existence and uniqueness of mild...
Analytical Solution of System of FitzHugh-Nagumo Model: A Case Study
Analytical Solution of System of FitzHugh-Nagumo Model: A Case Study
This study explores the FitzHugh-Nagumo model, a mathematical system used to simulate the activity of neurons. We apply the Adomian Decomposition Method (ADM) to generate approxima...
Intrinsic calcium resonance and its modulation: insights from computational modeling
Intrinsic calcium resonance and its modulation: insights from computational modeling
Hippocampal neurons generate membrane potential resonance due to specific voltage-gated ion channels, known as resonating conductances, which play crucial physiological roles. Howe...
Steady state characteries of FitzHugh-Nagumo neural system subjected to two different kinds of colored noises
Steady state characteries of FitzHugh-Nagumo neural system subjected to two different kinds of colored noises
Making use of the unified colored noise approximation, the steady sate characteristics of the one-dimension of FitzHugh-Nagumo neural system with two different colored noises are i...
Time Fractional Fisher–KPP and Fitzhugh–Nagumo Equations
Time Fractional Fisher–KPP and Fitzhugh–Nagumo Equations
A standard reaction–diffusion equation consists of two additive terms, a diffusion term and a reaction rate term. The latter term is obtained directly from a reaction rate equation...

Back to Top