Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses

No abstract is available for this paper.

• Publication year

  2010

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2010-02-05

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/TBME.2009.2037139PMID 20142163
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• I and J

  2012cited by this paper
• Flows in Networks

  2011cited by this paper
• Consensus Matching Pursuit for multi-trial EEG signals.

  2009cited by this paper
• Detecting alpha rhythm phase reset by phase sorting: Caveats to consider

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  2006cited by this paper
• Graph Cuts in Vision and Graphics: Theories and Applications

  2006cited by this paper
• Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps.

  2005influential reference
• Nonlinear dimension reduction of fMRI data: the Laplacian embedding approach

  2004cited by this paper
• Γ and B

  2004cited by this paper
• EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

  2004influential reference
• Single-trial estimation of multichannel evoked-potential measurements

  2003cited by this paper
• Single-trial event-related potentials with wavelet denoising.

  2003cited by this paper
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  1998cited by this paper
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  1997cited by this paper
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  1997cited by this paper
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  1989cited by this paper
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  1987cited by this paper
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• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

  1984cited by this paper
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  1977influential reference
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  1967cited by this paper
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  year unknowncited by this paper
• AND T

  year unknowncited by this paper

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