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Review

2017

Review

2017

This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the… Expand

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2015

2015

High-accuracy implementation of biological neural networks (NN) is a task with high computational overheads, especially in the… Expand

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2014

2014

The FitzHugh–Nagumo (FHN) model is a mathematical model of neuronal excitability developed by Richard FitzHugh as a reduction of… Expand

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2014

2014

The behavior of neurons can be modeled by the FitzHugh-Nagumo oscillator model, consisting of two nonlinear differential… Expand

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2009

2009

We present a study of the convergence of different numerical schemes in the solution of the Fitzhugh-Nagumo equations in the form… Expand

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Highly Cited

2006

Highly Cited

2003

Highly Cited

2003

We show the existence of a system size coherence resonance effect for coupled excitable systems. Namely, we demonstrate… Expand

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Highly Cited

1999

Highly Cited

1999

The variability and mean of the firing rate of Hodgkin-Huxley and FitzHugh-Nagumo neurons subjected to random synaptic input are… Expand

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Highly Cited

1990

Highly Cited

1990

A CMOS circuit is proposed that emulates FitzHugh-Nagumo's differential equations using OTAs, diode connected MOSFETs and… Expand

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Highly Cited

1984

Highly Cited

1984

On demontre la stabilite relative au systeme complet d'equations aux derivees partielles de ces ondes de propagation

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