Effects of an exogenous noise on a realistic network model: encoding of an EM signal

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:2404-7. doi: 10.1109/IEMBS.2007.4352812.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Simulation
  • Electromagnetic Phenomena*
  • Equipment Design
  • Feedback
  • Humans
  • Models, Neurological
  • Models, Statistical
  • Models, Theoretical
  • Nerve Net*
  • Neurons / pathology*
  • Radiation
  • Reproducibility of Results
  • Signal Transduction
  • Stochastic Processes