Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
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Andrzej Cichocki | Justin Dauwels | Jordi Solé-Casals | Monique Maurice | François B Vialatte | A. Cichocki | J. Dauwels | F. Vialatte | M. Maurice | Jordi Solé-Casals
[1] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[2] A. Keil,et al. Neural mechanisms of evoked oscillations: Stability and interaction with transient events , 2007, Human brain mapping.
[3] E. Basar,et al. Oscillatory Brain Dynamics, Wavelet Analysis, and Cognition , 1999, Brain and Language.
[4] Mircea Ariel Schoenfeld,et al. A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory , 2003, NeuroImage.
[5] Andrzej Cichocki,et al. EEG paroxysmal gamma waves during Bhramari Pranayama: A yoga breathing technique , 2009, Consciousness and Cognition.
[6] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[7] 田中 勝人. D. B. Percival and A. T. Walden: Wavelet Methods for Time Series Analysis, Camb. Ser. Stat. Probab. Math., 4, Cambridge Univ. Press, 2000年,xxvi + 594ページ. , 2009 .
[8] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[9] Andrzej Cichocki,et al. Improved Sparse Bump Modeling for Electrophysiological Data , 2008, ICONIP.
[10] A. Walden,et al. Wavelet Methods for Time Series Analysis , 2000 .
[11] E. Basar. EEG-brain dynamics: Relation between EEG and Brain evoked potentials , 1980 .
[12] Xiaoli Li,et al. Interaction dynamics of neuronal oscillations analysed using wavelet transforms , 2007, Journal of Neuroscience Methods.
[13] Paolo Massimo Buscema,et al. The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy , 2007, Artif. Intell. Medicine.
[14] Steven Lemm,et al. A novel mechanism for evoked responses in the human brain , 2007, The European journal of neuroscience.
[15] Andrzej Cichocki,et al. Oscillatory Event Synchrony During Steady State Visual Evoked Potentials , 2008 .
[16] Jean-Philippe Lachaux,et al. The Cambridge Handbook of Consciousness: Neurodynamical Approaches to Consciousness , 2007 .
[17] Gérard Dreyfus,et al. Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis , 2003 .
[18] Gérard Dreyfus,et al. Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators , 2007, Comput. Methods Programs Biomed..
[19] Timothy J. Gawne,et al. The Visual Evoked Potential Is Independent of Surface Alpha Rhythm Phase the Visual Evoked Potential Is Independent of Surface Alpha Rhythm Phase , 2022 .
[20] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[21] Walter J Freeman,et al. A cinematographic hypothesis of cortical dynamics in perception. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[22] Matthias M. Müller,et al. Oscillatory brain activity dissociates between associative stimulus content in a repetition priming task in the human EEG. , 2004, Cerebral cortex.
[23] Andrzej Cichocki,et al. Measuring Neural Synchrony by Message Passing , 2007, NIPS.
[24] Richard Kronland-Martinet,et al. Analysis of Sound Patterns through Wavelet transforms , 1987, Int. J. Pattern Recognit. Artif. Intell..
[25] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[26] Rémi Gervais,et al. A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics , 2007, Neural Networks.
[27] R. Gervais,et al. Blind Source Separation and Sparse Bump Modelling of Time Frequency Representation of Eeg Signals: New Tools for Early Detection of Alzheimer's Disease , 2022 .
[28] Andrzej Cichocki,et al. Quantifying Statistical Interdependence by Message Passing on Graphs—Part I: One-Dimensional Point Processes , 2009, Neural Computation.
[29] Andrzej Cichocki,et al. A Novel Measure for Synchrony and its Application to Neural Signals , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[30] Andrzej Cichocki,et al. A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on Eeg , 2009 .
[31] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing, 2nd Edition , 1999 .
[32] S. Mallat. A wavelet tour of signal processing , 1998 .
[33] E. Ba§ar,et al. EEG-Brain dynamics: Relation between EEG and brain evoked potentials , 1982 .
[34] Michel Le Van Quyen,et al. Disentangling the dynamic core: a research program for a neurodynamics at the large-scale. , 2003, Biological research.
[35] W. Klimesch,et al. Event-related phase reorganization may explain evoked neural dynamics , 2007, Neuroscience & Biobehavioral Reviews.
[36] Richard Kronland-Martinet,et al. Asymptotic wavelet and Gabor analysis: Extraction of instantaneous frequencies , 1992, IEEE Trans. Inf. Theory.
[37] Andrzej Cichocki,et al. Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Application to the Detection of the Early Stage of Alzheimer's Disease , 2006, ICONIP.
[38] Rasmus Bro,et al. Multiway analysis of epilepsy tensors , 2007, ISMB/ECCB.
[39] R Quian Quiroga,et al. Wavelet Transform in the analysis of the frequency composition of evoked potentials. , 2001, Brain research. Brain research protocols.
[40] K. Lehnertz,et al. Nonlinear denoising of transient signals with application to event-related potentials , 2000, physics/0001069.
[41] Andrzej Cichocki,et al. Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals , 2005, ICANN.
[42] Andrzej Cichocki,et al. EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts , 2008, Physiological measurement.
[43] S. Raghavachari,et al. Distinct patterns of brain oscillations underlie two basic parameters of human maze learning. , 2001, Journal of neurophysiology.
[44] Mark Hallett,et al. Modulation of cortical activity as a result of voluntary postural sway direction: An EEG study , 2008, Neuroscience Letters.
[45] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .