We review some of the important instances in neurobiological context where the contribution of noise has been recognized to be particularly relevant focusing on different unexpected features and open problems that arise in this context. We use as a reference model the Leaky Integrate and Fire model for the neuronal membrane potential. The analysis of this simple model allows us to illustrate a set of features related to the presence of noise. Moreover, we focus on the effect of the composition of different types of noise by introducing jump-diffusion processes and we consider also the phenomena of stochastic and of ghost resonance.

Some examples on the role of noise in neuronal modelling problems

GIRAUDO, Maria Teresa;SACERDOTE, Laura Lea
2008

Abstract

We review some of the important instances in neurobiological context where the contribution of noise has been recognized to be particularly relevant focusing on different unexpected features and open problems that arise in this context. We use as a reference model the Leaky Integrate and Fire model for the neuronal membrane potential. The analysis of this simple model allows us to illustrate a set of features related to the presence of noise. Moreover, we focus on the effect of the composition of different types of noise by introducing jump-diffusion processes and we consider also the phenomena of stochastic and of ghost resonance.
UPON 2008 - Unsolved problems on noise - 5th International Conference on Unsolved Problems on Noise and Fluctuations in Physics, Biology & High Technology
Lyon (F)
02-06/06/2008
UPON 2008 Unsolved Problems on Noise
CNRS
118
118
Ornstein-Uhlenbeck process; Jump-diffusion processes; Stochastic Resonance
M.T. Giraudo; L. Sacerdote
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/83001
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