Mining event-related brain dynamics

[1]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[2]  Nancy Kopell,et al.  Alpha-Frequency Rhythms Desynchronize over Long Cortical Distances: A Modeling Study , 2000, Journal of Computational Neuroscience.

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

[4]  Richard H. Bayford,et al.  Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method , 2003, NeuroImage.

[5]  Andreas A. Ioannides,et al.  Surface visualization of electromagnetic brain activity , 2003, Journal of Neuroscience Methods.

[6]  J Gross,et al.  Properties of MEG tomographic maps obtained with spatial filtering , 2003, NeuroImage.

[7]  W. Freeman,et al.  Aperiodic phase re‐setting in scalp EEG of beta–gamma oscillations by state transitions at alpha–theta rates , 2003, Human brain mapping.

[8]  M. Hajós,et al.  Norepinephrine but not Serotonin Reuptake Inhibitors Enhance Theta and Gamma Activity of the Septo-Hippocampal System , 2003, Neuropsychopharmacology.

[9]  P. Morosan,et al.  Synchronization tomography: a method for three-dimensional localization of phase synchronized neuronal populations in the human brain using magnetoencephalography. , 2003, Physical review letters.

[10]  Jean Bennett,et al.  Lateral Connectivity and Contextual Interactions in Macaque Primary Visual Cortex , 2002, Neuron.

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

[12]  Barak A. Pearlmutter,et al.  Independent Components of Magnetoencephalography: Localization , 2002, Neural Computation.

[13]  James J. Wright,et al.  Spatial eigenmodes and synchronous oscillation: Co-incidence detection in simulated cerebral cortex , 2002, Journal of mathematical biology.

[14]  Peter A. Robinson,et al.  Unified neurophysical model of EEG spectra and evoked potentials , 2002, Biological Cybernetics.

[15]  Andrzej Cichocki,et al.  Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis , 2002, Biological Cybernetics.

[16]  Lucia Wittner,et al.  Simultaneous activation of gamma and theta network oscillations in rat hippocampal slice cultures , 2002, The Journal of physiology.

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

[18]  G Pfurtscheller,et al.  Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[19]  Richard M. Leahy,et al.  Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..

[20]  C. L. Chapman,et al.  Toward an integrated continuum model of cerebral dynamics: the cerebral rhythms, synchronous oscillation and cortical stability. , 2001, Bio Systems.

[21]  W. Singer,et al.  Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.

[22]  T. Sejnowski,et al.  Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.

[23]  Tzyy-Ping Jung,et al.  Imaging brain dynamics using independent component analysis , 2001, Proc. IEEE.

[24]  R. Desimone,et al.  Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention , 2001, Science.

[25]  P Girard,et al.  Feedback connections act on the early part of the responses in monkey visual cortex. , 2001, Journal of neurophysiology.

[26]  P. König,et al.  Top-down processing mediated by interareal synchronization. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[27]  E. Halgren,et al.  Early widespread cortical distribution of coherent fusiform face selective activity , 2000, Human brain mapping.

[28]  W. Freeman,et al.  Analysis of spatial patterns of phase in neocortical gamma EEGs in rabbit. , 2000, Journal of neurophysiology.

[29]  S Makeig,et al.  A natural basis for efficient brain-actuated control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[30]  Erkki Oja,et al.  Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.

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

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

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

[34]  Ali Mansour,et al.  Blind Separation of Sources , 1999 .

[35]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

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

[37]  Peter A. Tass,et al.  Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis , 1999 .

[38]  Terrence J. Sejnowski,et al.  Unsupervised Classification with Non-Gaussian Mixture Models Using ICA , 1998, NIPS.

[39]  Jean-François Cardoso,et al.  Multidimensional independent component analysis , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[40]  Shun-ichi Amari,et al.  Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.

[41]  S Makeig,et al.  Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.

[42]  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.

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

[44]  A. van Oosterom,et al.  The surface Laplacian of the potential: theory and application , 1996, IEEE Transactions on Biomedical Engineering.

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

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

[47]  Andrzej Cichocki,et al.  Robust learning algorithm for blind separation of signals , 1994 .

[48]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

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

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

[51]  Christian Jutten,et al.  Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..

[52]  Christian Jutten,et al.  Space or time adaptive signal processing by neural network models , 1987 .

[53]  Thomas Elbert,et al.  Threshold regulation - a key to the understanding of the combined dynamics of EEG and event-related potentials , 1987 .

[54]  E Hunt,et al.  Mathematical models of the event-related potential. , 1985, Psychophysiology.

[55]  G. Pfurtscheller,et al.  Event-related cortical desynchronization detected by power measurements of scalp EEG. , 1977, Electroencephalography and clinical neurophysiology.

[56]  Donald O. Walter,et al.  Mass action in the nervous system , 1975 .

[57]  Sayers Bm,et al.  Objective evaluation of auditory evoked EEG responses. , 1974 .

[58]  H. A. BEAGLEY,et al.  Objective evaluation of auditory evoked EEG responses , 1974, Nature.