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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 3/2018

15.01.2018 | Research Article

Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh–Nagumo neuron

verfasst von: Yuangen Yao, Jun Ma

Erschienen in: Cognitive Neurodynamics | Ausgabe 3/2018

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Abstract

Based on the FitzHugh–Nagumo (FHN) neuron model subjected to sine-Wiener (SW) noise, impacts of SW noise on weak periodic signal detection are investigated by calculating response measure Q for characterizing synchronization between the input signal and the output temporal activities of the neuron. It is numerically demonstrated that the response measure Q can achieve the optimal value under appropriate and moderate intensity or correlation time of SW noise, suggesting the occurrence of SW-noise-induced stochastic resonance. Furthermore, the optimal value of Q is sensitive to correlation time. Consequently, the correlation time of SW noise has a great influence on the performance of signal detection in the FHN neuron.
Vorheriger Artikel Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network
Nächster Artikel Fatigue-life distributions for reaction time data

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Metadaten
Titel
Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh–Nagumo neuron
verfasst von
Yuangen Yao
Jun Ma
Publikationsdatum
15.01.2018
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 3/2018
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-018-9475-3

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