title: Effects of an exogenous noise on a realistic network model: encoding of an EM signal.
abstract: Endogenous noise has been shown to play a central role in the detection of an electromagnetic signal in the nervous system. In this work, following a biomedical perspective, an exogenous noise applied to a realistic feedforward network model has been considered. It will be shown that, if the exogenous noise is properly filtered and its level is adjusted, a clear optimization of network encoding of an electromagnetic signal, representative of an external stimulation, is obtained through the stochastic resonance paradigm.
authors.affiliation: ICEmB, La Sapienza University of Rome, 00184 Rome, Italy. paffi@die.uniroma1.it
authors.forename: A
authors.initials: A
authors.lastname: Paffi
authors.forename: M
authors.initials: M
authors.lastname: Gianni
authors.forename: F
authors.initials: F
authors.lastname: Maggio
authors.forename: M
authors.initials: M
authors.lastname: Liberti
authors.forename: F
authors.initials: F
authors.lastname: Apollonio
authors.forename: G
authors.initials: G
authors.lastname: D'Inzeo
mesh_terms: D003198:Computer Simulation; D055590:Electromagnetic Phenomena; D004867:Equipment Design; D005246:Feedback; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D009415:Nerve Net; D009474:Neurons / Q000473:pathology*; D011827:Radiation; D015203:Reproducibility of Results; D015398:Signal Transduction; D013269:Stochastic Processes