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Improved Integrate-and-Fire model for RSA

Academic Article
Publication Date:
2007
abstract:
in particular for the respiratory sinus arrhythmia, and is fitted to some interbeat interval sequences recorded from normal subjects at rest. The model performance is evaluated using a test based on the nonlinear predic- tion approach. Moreover, a short comparative account of two similar models described in the literature is given
Iris type:
01.01 Articolo in rivista
Keywords:
Integrate and Fire; neural model; noise; stochastic resonance
List of contributors:
Barbi, Michele; Balocchi, Rita; DI GARBO, Angelo
Authors of the University:
DI GARBO ANGELO
Handle:
https://iris.cnr.it/handle/20.500.14243/167285
Published in:
MATHEMATICAL BIOSCIENCES AND ENGINEERING
Journal
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URL

http://www.aimsciences.org/journals/displayArticles.jsp?paperID=2769
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