title: Stochastic resonance in two simple compare-and-fire models.
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.
authors.affiliation: Istituto di Biofisica del CNR, Via Moruzzi 1, 56124 Pisa, Italy. barbi@pi.ibf.cnr.it
authors.forename: Michele
authors.initials: M
authors.lastname: Barbi
authors.forename: Angelo
authors.initials: A
authors.lastname: Di Garbo
authors.forename: Francesco
authors.initials: F
authors.lastname: Barbi
mesh_terms: D008959:Models, Neurological; D013269:Stochastic Processes