Document Detail


EEG-like signals generated by a simple chaotic model based on the logistic equation.
MedLine Citation:
PMID:  16921208     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We introduce a simple model to produce EEG-like signals. The model is based on the assumption that the number of active nerve cells that generate an electric field, at a given time, is essentially chaotic. In accordance, we use the logistic equation together with a spike-like function to simulate the neuronal activity processes. With this model, we are able to generate EEG-like patterns, with quite a short time of calculation. Real pre-recorded neuronal and simulated signals, as well as their power spectra, are compared in terms of the main conventional EEG frequency peaks.
Authors:
G Perea; S Márquez-Gamiño; S Rodríguez; G Moreno
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-08-18
Journal Detail:
Title:  Journal of neural engineering     Volume:  3     ISSN:  1741-2560     ISO Abbreviation:  J Neural Eng     Publication Date:  2006 Sep 
Date Detail:
Created Date:  2006-08-21     Completed Date:  2006-11-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101217933     Medline TA:  J Neural Eng     Country:  England    
Other Details:
Languages:  eng     Pagination:  245-9     Citation Subset:  IM    
Affiliation:
Instituto de Física e Instituto de Investigación Sobre el Trabajo, Universidad de Guanajuato, León, Gto 37150, Mexico. perea@fisica.ugto.mx
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MeSH Terms
Descriptor/Qualifier:
Action Potentials / physiology*
Brain / physiology*
Brain Mapping / methods
Computer Simulation
Electroencephalography / methods*
Humans
Logistic Models
Models, Neurological*
Nerve Net / physiology*
Neurons / physiology*
Nonlinear Dynamics*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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