EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

[1]  Etienne Olivier,et al.  Emergent Oscillations in a Realistic Network: The Role of Inhibition and the Effect of the Spatiotemporal Distribution of the Input , 2004, Journal of Computational Neuroscience.

[2]  Terrence J. Sejnowski,et al.  Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data , 2003, Neural Networks.

[3]  S. Makeig,et al.  EEG changes accompanying learned regulation of 12-Hz EEG activity , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  J. Lachaux,et al.  A simple measure of correlation across time, frequency and space between continuous brain signals , 2003, Journal of Neuroscience Methods.

[5]  S. Makeig Response: Event-related brain dynamics – unifying brain electrophysiology , 2002, Trends in Neurosciences.

[6]  Rainer Goebel,et al.  Spatial independent component analysis of functional MRI time‐series: To what extent do results depend on the algorithm used? , 2002, Human brain mapping.

[7]  Terrence J. Sejnowski,et al.  From single-trial EEG to brain area dynamics , 2002, Neurocomputing.

[8]  T. Sejnowski,et al.  Single-Trial Variability in Event-Related BOLD Signals , 2002, NeuroImage.

[9]  T. Sejnowski,et al.  Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.

[10]  T. Sejnowski,et al.  Analysis and visualization of single‐trial event‐related potentials , 2001, Human brain mapping.

[11]  J. Martinerie,et al.  Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.

[12]  T. Sejnowski,et al.  MEASURING THE VARIABILITY OF EVENT-RELATED BOLD SIGNAL , 2001 .

[13]  A. von Stein,et al.  Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[14]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[15]  T. Sejnowski,et al.  Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.

[16]  A. J. Bell,et al.  A Unifying Information-Theoretic Framework for Independent Component Analysis , 2000 .

[17]  M. Laubach,et al.  Independent component analyses for quantifying neuronal ensemble interactions , 1999, Journal of Neuroscience Methods.

[18]  Ho-Young Jung,et al.  Subband-based blind signal separation for noisy speech recognition , 1999 .

[19]  T. Sejnowski,et al.  Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention , 1999, The Journal of Neuroscience.

[20]  F. Varela,et al.  Perception's shadow: long-distance synchronization of human brain activity , 1999, Nature.

[21]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[22]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources , 1999, Neural Comput..

[23]  F. Varela,et al.  Measuring phase synchrony in brain signals , 1999, Human brain mapping.

[24]  Tzyy-Ping Jung,et al.  Analyzing and Visualizing Single-Trial Event-Related Potentials , 1998, NIPS.

[25]  S Makeig,et al.  Blind separation of auditory event-related brain responses into independent components. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[26]  J. Pernier,et al.  Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.

[27]  S. Weiss,et al.  EEG coherence within the 13–18 Hz band as a correlate of a distinct lexical organisation of concrete and abstract nouns in humans , 1996, Neuroscience Letters.

[28]  Seongjai Kim,et al.  Artificial Damping Techniques for Scalar Waves in the Frequency Domain , 1996 .

[29]  Tzyy-Ping Jung,et al.  Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.

[30]  Andrzej Cichocki,et al.  A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.

[31]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[32]  Karl J. Friston,et al.  Commentary and Opinion: II. Statistical Parametric Mapping: Ontology and Current Issues , 1995, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[33]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[34]  F. Varela,et al.  Visually Triggered Neuronal Oscillations in the Pigeon: An Autocorrelation Study of Tectal Activity , 1993, The European journal of neuroscience.

[35]  S. Makeig Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. , 1993, Electroencephalography and clinical neurophysiology.

[36]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[37]  W. Freeman,et al.  Frequency analysis of olfactory system EEG in cat, rabbit, and rat. , 1980, Electroencephalography and clinical neurophysiology.

[38]  Pandu R. Tadikamalla,et al.  A Probability Distribution and its Uses in Fitting Data , 1979 .

[39]  G. Pfurtscheller,et al.  Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement. , 1979, Electroencephalography and clinical neurophysiology.

[40]  S. Holm A Simple Sequentially Rejective Multiple Test Procedure , 1979 .

[41]  Carlo Bonferroni Sulle medie multiple di potenze , 1950 .