Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2077140 | Biosystems | 2007 | 5 Pages |
Abstract
Two neural models are analysed and shown to exhibit the stochastic resonance effect. Namely, they respond to an underthreshold sinusoidal signal with an output signal whose signal-to-noise ratio (SNR) firstly increases then decreases as the intensity of noise affecting the system increases. The resonance curves are determined, analytically for the first and simplest model and by a synthetic method for the second one, and the respective resonant behaviours are illustrated and interpreted.
Related Topics
Physical Sciences and Engineering
Mathematics
Modelling and Simulation
Authors
Michele Barbi, Angelo Di Garbo, Francesco Barbi,