Literature DB >> 11440596

Topographic independent component analysis.

A Hyvärinen, P O Hoyer, M Inki.   

Abstract

In ordinary independent component analysis, the components are assumed to be completely independent, and they do not necessarily have any meaningful order relationships. In practice, however, the estimated "independent" components are often not at all independent. We propose that this residual dependence structure could be used to define a topographic order for the components. In particular, a distance between two components could be defined using their higher-order correlations, and this distance could be used to create a topographic representation. Thus, we obtain a linear decomposition into approximately independent components, where the dependence of two components is approximated by the proximity of the components in the topographic representation.

Mesh:

Year:  2001        PMID: 11440596     DOI: 10.1162/089976601750264992

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  34 in total

1.  Probabilistic independent component analysis for laser speckle contrast images reveals in vivo multi - component vascular responses to forepaw stimulation.

Authors:  Nan Li; Galit Pelled; Nitish V Thakor
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Simulation of retinal ganglion cell response using fast independent component analysis.

Authors:  Guanzheng Wang; Rubin Wang; Wanzheng Kong; Jianhai Zhang
Journal:  Cogn Neurodyn       Date:  2018-07-07       Impact factor: 5.082

3.  On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data.

Authors:  Axel Saalbach; Oliver Lange; Tim Nattkemper; Anke Meyer-Baese
Journal:  Biomed Signal Process Control       Date:  2009-07       Impact factor: 3.880

4.  Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions.

Authors:  Shohei Shimizu; Kenneth Bollen
Journal:  J Mach Learn Res       Date:  2014-08       Impact factor: 3.654

5.  Resting-state functional connectivity associated with mild cognitive impairment in Parkinson's disease.

Authors:  Marianna Amboni; Alessandro Tessitore; Fabrizio Esposito; Gabriella Santangelo; Marina Picillo; Carmine Vitale; Alfonso Giordano; Roberto Erro; Rosa de Micco; Daniele Corbo; Gioacchino Tedeschi; Paolo Barone
Journal:  J Neurol       Date:  2014-11-27       Impact factor: 4.849

Review 6.  UV resonance Raman investigations of peptide and protein structure and dynamics.

Authors:  Sulayman A Oladepo; Kan Xiong; Zhenmin Hong; Sanford A Asher; Joseph Handen; Igor K Lednev
Journal:  Chem Rev       Date:  2012-02-15       Impact factor: 60.622

7.  Boredom, sustained attention and the default mode network.

Authors:  James Danckert; Colleen Merrifield
Journal:  Exp Brain Res       Date:  2016-03-15       Impact factor: 1.972

Review 8.  Review of methods for functional brain connectivity detection using fMRI.

Authors:  Kaiming Li; Lei Guo; Jingxin Nie; Gang Li; Tianming Liu
Journal:  Comput Med Imaging Graph       Date:  2008-12-25       Impact factor: 4.790

9.  COMPUTER-AIDED DIAGNOSIS AND VISUALIZATION BASED ON CLUSTERING AND INDEPENDENT COMPONENT ANALYSIS FOR BREAST MRI.

Authors:  A Meyer-Baese; O Lange; T Schlossbauer; A Wismüller
Journal:  Proc Int Conf Image Proc       Date:  2008-10-12

10.  Spectral signatures of mirror movements in the sensori-motor connectivity in kallmann syndrome.

Authors:  Renzo Manara; Federica Di Nardo; Alessandro Salvalaggio; Antonio Agostino Sinisi; Guglielmo Bonanni; Vincenzo Palumbo; Elena Cantone; Arturo Brunetti; Francesco Di Salle; Arianna D'errico; Andrea Elefante; Fabrizio Esposito
Journal:  Hum Brain Mapp       Date:  2017-09-30       Impact factor: 5.038

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