Detection of sub-threshold periodic signal by multiplicative and additive cross-correlated sine-Wiener noises in the Fitzhugh-Nagumo neuron. (English) Zbl 1514.92022
Summary: We study the effects of multiplicative and additive cross-correlated sine-Wiener (CCSW) noises on the performance of sub-threshold periodic signal detection in the FitzHugh-Nagumo (FHN) neuron by calculating Fourier coefficients Q for measuring synchronization between sub-threshold input signal and the response of system. CCSW noises-induced transitions of electrical activity in the FHN neuron model can be observed. Moreover, the performance of sub-threshold periodic signal detection is achieved at moderate noise strength, cross-correlation time and cross-correlation strength of CCSW noises, which indicate the occurrence of CCSW noises-induced stochastic resonance. Furthermore, the performance of sub-threshold signal detection is strongly sensitive to cross-correlation time of CCSW noises. Therefore, the performance can be effectively controlled by regulating cross-correlation time of CCSW noises. These results provide a possible mechanism for amplifying or detecting the sub-threshold signal in the nervous system.
MSC:
| 92C20 | Neural biology |
| 60H30 | Applications of stochastic analysis (to PDEs, etc.) |
| 62M07 | Non-Markovian processes: hypothesis testing |
| 94A12 | Signal theory (characterization, reconstruction, filtering, etc.) |
Keywords:
cross-correlated sine-Wiener noise; bounded noise; signal detection; Fitzhugh-Nagumo neuronReferences:
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