Results 41 to 50 of about 4,385,567 (281)

fMRI BOLD Correlates of EEG Independent Components: Spatial Correspondence With the Default Mode Network

open access: yesFrontiers in Human Neuroscience, 2018
Goal: We aimed to identify electroencephalographic (EEG) signal fluctuations within independent components (ICs) that correlate to spontaneous blood oxygenation level dependent (BOLD) activity in regions of the default mode network (DMN) during eyes ...
Marcel Prestel   +4 more
doaj   +1 more source

Independent Component Analysis Based on Information Bottleneck

open access: yesAbstract and Applied Analysis, 2015
The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by ...
Qiao Ke   +4 more
doaj   +1 more source

On Independent Component Analysis with Stochastic Volatility Models

open access: yesAustrian Journal of Statistics, 2017
Consider a multivariate time series where each component series is assumed to be a linear mixture of latent mutually independent stationary time series.
Markus Matilainen   +4 more
doaj   +1 more source

Efficient independent component analysis

open access: yes, 2007
Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication.
Bickel, Peter J., Chen, Aiyou
core   +2 more sources

Statistical physics of independent component analysis

open access: yes, 2003
Statistical physics is used to investigate independent component analysis with polynomial contrast functions. While the replica method fails, an adapted cavity approach yields valid results. The learning curves, obtained in a suitable thermodynamic limit,
Amari A.   +5 more
core   +2 more sources

Non-independent component analysis

open access: yesThe Annals of Statistics
A seminal result in the ICA literature states that for $AY = \varepsilon$, if the components of $\varepsilon$ are independent and at most one is Gaussian, then $A$ is identified up to sign and permutation of its rows (Comon, 1994). In this paper we study to which extent the independence assumption can be relaxed by replacing it with restrictions on ...
Mesters, Geert, Zwiernik, Piotr
openaire   +3 more sources

Assessing material densities by vibration analysis and independent component analysis [PDF]

open access: yes, 2013
The aim of this study was to investigate vibration analysis and independent component analysis (ICA) to assess the density of multiple materials making up a single structure.
Bishop, Nick   +5 more
core   +1 more source

Knowledge-guided multi-scale independent component analysis for biomarker identification

open access: yesBMC Bioinformatics, 2008
Background Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify biologically meaningful biomarkers related ...
Zhang Zhen   +7 more
doaj   +1 more source

Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data. [PDF]

open access: yesPLoS ONE, 2017
Gene expression time series (GETS) analysis aims to characterize sets of genes according to their longitudinal patterns of expression. Due to the large number of genes evaluated in GETS analysis, an useful strategy to summarize biological functional ...
Moysés Nascimento   +8 more
doaj   +1 more source

Classification and analysis of emission-line galaxies using mean field independent component analysis [PDF]

open access: yes, 2013
We present an analysis of the optical spectra of narrow emission-line galaxies, based on mean field independent component analysis (MFICA). Samples of galaxies were drawn from the Sloan Digital Sky Survey (SDSS) and used to generate compact sets of ...
Allen, James T.   +4 more
core   +3 more sources

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