Model-free analysis of brain fMRI data by recurrence quantification.
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Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signal.Chaos-chaos transition of left hemisphere EEGs during standard tasks of Waterloo-Stanford Group Scale of hypnotic susceptibility.Recurrence quantification analysis of electroencephalograph signals during standard tasks of Waterloo-Stanford group scale of hypnotic susceptibility.Increased determinism in brain electrical activity occurs in association with multiple sclerosis.
P2860
Model-free analysis of brain fMRI data by recurrence quantification.
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2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին հրատարակված գիտական հոդված
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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name
Model-free analysis of brain fMRI data by recurrence quantification.
@ast
Model-free analysis of brain fMRI data by recurrence quantification.
@en
type
label
Model-free analysis of brain fMRI data by recurrence quantification.
@ast
Model-free analysis of brain fMRI data by recurrence quantification.
@en
prefLabel
Model-free analysis of brain fMRI data by recurrence quantification.
@ast
Model-free analysis of brain fMRI data by recurrence quantification.
@en
P2093
P50
P1433
P1476
Model-free analysis of brain fMRI data by recurrence quantification
@en
P2093
Joseph P Zbilut
Marta Bianciardi
Paolo Sirabella
P304
P356
10.1016/J.NEUROIMAGE.2007.05.025
P407
P577
2007-05-25T00:00:00Z