DSpace Repository

Effect of Non Gaussian Noises on the Stochastic Resonance-Like Phenomenon in Gated Traps

Show simple item record

dc.creator Revelli, Jorge A.
dc.creator Sánchez, Alejandro D.
dc.creator Wio, Horacio S.
dc.date 2008-05-04T19:04:28Z
dc.date 2008-05-04T19:04:28Z
dc.date 2001-09-25
dc.date.accessioned 2017-01-31T01:09:24Z
dc.date.available 2017-01-31T01:09:24Z
dc.identifier arXiv:cond-mat/0109454v1
dc.identifier 0167-2789
dc.identifier http://hdl.handle.net/10261/3979
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3979
dc.description Communication to LAWNP01. Proceedings to be published in Physica D.-- RevTex, 8 pgs, 5 figures.
dc.description We exploit a simple one-dimensional trapping model introduced before, prompted by the problem of ion current across a biological membrane. The voltage-sensitive channels are open or closed depending on the value taken by an external potential that has two contributions: a deterministic periodic and a stochastic one. Here we assume that the noise source is colored and non Gaussian, with a $q$-dependent probability distribution (where $q$ is a parameter indicating the departure from Gaussianity). We analyze the behavior of the oscillation amplitude as a function of both $q$ and the noise correlation time. The main result is that in addition to the resonant-like maximum as a function of the noise intensity, there is a new resonant maximum as a function of the parameter $q$.
dc.description Financial support from CONICET, Argentine, is acknowledged.
dc.description Peer reviewed
dc.format 118426 bytes
dc.format application/pdf
dc.language eng
dc.publisher Elsevier
dc.relation Preprint
dc.rights openAccess
dc.subject Statistical Mechanics
dc.title Effect of Non Gaussian Noises on the Stochastic Resonance-Like Phenomenon in Gated Traps
dc.type Pre-print


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account