Restoring the encoding properties of a stochastic neuron model by an exogenous noise

Restoring the encoding properties of a stochastic neuron model by an exogenous noise

Here we evaluate the possibility of improving the encoding properties of an impaired neuronal system by superimposing an exogenous noise to an external electric stimulation signal. The approach is based on the use of mathematical neuron models consisting of stochastic HH-like circuit, where the impa...

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Bibliographic Details
Main Authors: Alessandra ePaffi, Francesca eCamera, Francesca eApollonio, Guglielmo ed'Inzeo, Micaela eLiberti
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
Electric Stimulation
stochastic resonance
Signal detection
single neuron
HH model
exogenous noise
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00042/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00042/full

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