The nonlinear detection by a threshold device of a periodic train of soliton-like pulses embedded in arbitrarily distributed white noise is studied. A theoretical model is developed which provides expressions for the signal-to-noise ratio at the output of the detector and for the input-output gain i
Stochastic resonance for the superimposed periodic pulse train
β Scribed by T. Kanamaru; T. Horita; Y. Okabe
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 216 KB
- Volume
- 255
- Category
- Article
- ISSN
- 0375-9601
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β¦ Synopsis
Stochastic Resonance in a coupled FitzHugh-Nagumo equation is investigated. The optimal noise intensity and the optimal input frequency, which maximize the signal to noise ratio of the output signal, are studied numerically, and their dependence on system parameters and connection coefficients is examined. It is found that a network composed of six elements can separate a superimposed periodic pulse train by controlling the noise intensity.
π SIMILAR VOLUMES
Abstmet-Rcccntly, periodic unstable orbits have been searched for in neural activity. by comparing the number of encounters in the original data and in surrogate data. Here it is shown that in periodically driven spike trains, 'high' numbers of encounters can be found because of the correlation of t