Independent Component Analysis Separates Sequence-Sensitive ERP Components

No abstract is available for this paper.

• Publication year

  2004

• Venue

  International Journal of Bifurcation and Chaos in Applied Sciences and Engineering

• Publication date

  2004-02-01

• Fields of study

  Biology, Computer Science, Psychology

• Identifiers
  DOI 10.1142/S0218127404009363
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Distortion of ERP averages due to overlap from temporally adjacent ERPs: analysis and correction.

  2007cited by this paper
• Elements of Information Theory

  2005cited by this paper
• Independent Component Analysis

  2001cited by this paper
• Sequence-sensitive subcomponents of P300: topographical analyses and dipole source localization.

  2001cited by this paper
• Neural correlates of advance movement preparation: a dipole source analysis approach.

  2001cited by this paper
• Covert signs of expectancy in serial reaction time tasks revealed by event-related potentials

  1999cited by this paper
• Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention

  1999cited by this paper
• Event-related brain potentials in the study of visual selective attention.

  1998cited by this paper
• Blind separation of auditory event-related brain responses into independent components.

  1997cited by this paper
• Learning the higher-order structure of a natural sound.

  1996cited by this paper
• An Information-Maximization Approach to Blind Separation and Blind Deconvolution

  1995cited by this paper
• Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer Network 5

  1994cited by this paper
• Stimulus presentation rate dissociates sequential effects in event-related potentials and reaction times.

  1993cited by this paper
• Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network

  1992cited by this paper
• Consciousness of attention and expectancy as reflected in event-related potentials and reaction times

  1990cited by this paper
• A triarchic model of P300 amplitude.

  1986cited by this paper
• Expectancy or Automatic Facilitation? Separating Sequential Effects in Two-Choice Reaction Time

  1985cited by this paper
• Effects of Stimulus Sequence on P300 and Reaction Time in Schizophrenics

  1984cited by this paper
• Expectancy for events in old age: stimulus sequence effects on P300 and reaction time.

  1982cited by this paper
• The effect of stimulus sequence on the waveform of the cortical event-related potential.

  1976cited by this paper
• Sequential effects in choice reaction time.

  1969cited by this paper
• Stimulus information as a determinant of reaction time.

  1953cited by this paper
• American Psychological Association, Inc. Automatic Aftereffects in Two-Choice Reaction Time: A Mathematical Representation of Some Concepts

  year unknowncited by this paper

• Exploratory Analysis of Brain with ICA

  2014cites this paper
• ErpICASSO: A tool for reliability estimates of independent components in EEG event-related analysis

  2012cites this paper
• Enhancing brain-computer interfacing through advanced independent component analysis techniques

  2009cites this paper
• COMPARISON OF SINGLE TRIAL BACK-PROJECTED INDEPENDENT COMPONENTS WITH THE AVERAGED WAVEFORM FOR THE EXTRACTION OF BIOMARKERS OF AUDITORY P 300 EPs

  2007cites this paper
• Comparison of Single Trial Back Projected Independent Components with the Averaged Waveform for the Extraction of Biomarkers of Auditory P300 Evoked Potentials

  2007cites this paper
• The independent components of auditory P300 and CNV evoked potentials derived from single-trial recordings

  2007cites this paper
• An investigation of the effect of preparation on response execution and inhibition in the go/nogo task

  2005cites this paper
• An Analytical Framework for Modeling Evoked and Event-Related Potentials

  2004cites this paper