Effects of an exogenous noise on a realistic network model: encoding of an EM signal.
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.
Paffi
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ICEmB, La Sapienza University of Rome, 00184 Rome, Italy. paffi@die.uniroma1.it
Gianni
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Maggio
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Liberti
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Apollonio
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D'Inzeo
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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