Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG
暂无分享,去创建一个
Tapani Ristaniemi | Fengyu Cong | Andrzej Cichocki | Anh Huy Phan | Qibin Zhao | Qiang Wu | Piia Astikainen | Jari K. Hietanen | A. Cichocki | J. Hietanen | P. Astikainen | Qibin Zhao | A. Phan | F. Cong | T. Ristaniemi | Qiang Wu
[1] István Czigler,et al. Processing of unattended facial emotions: A visual mismatch negativity study , 2012, NeuroImage.
[2] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[3] Tapani Ristaniemi,et al. 2011 Ieee International Workshop on Machine Learning for Signal Processing Determining the Number of Sources in High-density Eeg Recordings of Event-related Potentials by Model Order Selection , 2022 .
[4] Karl J. Friston,et al. Mechanisms of evoked and induced responses in , 2009 .
[5] Rasmus Bro,et al. Multiway analysis of epilepsy tensors , 2007, ISMB/ECCB.
[6] Piia Astikainen,et al. This Reprint May Differ from the Original in Pagination and Typographic Detail. Event-related Potentials to Task-irrelevant Changes in Facial Expressions Behavioral and Brain Functions Event-related Potentials to Task-irrelevant Changes in Facial Expressions , 2022 .
[7] Andrzej Cichocki,et al. Kernel nonnegative matrix factorization for spectral EEG feature extraction , 2009, Neurocomputing.
[8] Erol Başar,et al. Sensory evoked and event related oscillations in Alzheimer’s disease: a short review , 2010, Cognitive Neurodynamics.
[9] Donna L. Hudson,et al. Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer's Subjects , 2007, Int. J. Neural Syst..
[10] Lars Kai Hansen,et al. ERPWAVELAB A toolbox for multi-channel analysis of time–frequency transformed event related potentials , 2007, Journal of Neuroscience Methods.
[11] Tapani Ristaniemi,et al. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data , 2012, LVA/ICA.
[12] L. Nummenmaa,et al. Detection of emotional faces: salient physical features guide effective visual search. , 2008, Journal of experimental psychology. General.
[13] U. Rajendra Acharya,et al. Application of Recurrence Quantification Analysis for the Automated Identification of Epileptic EEG Signals , 2011, Int. J. Neural Syst..
[14] R Bro,et al. Cross-validation of component models: A critical look at current methods , 2008, Analytical and bioanalytical chemistry.
[15] Liqing Zhang,et al. Generalized optimal spatial filtering using a kernel approach with application to EEG classification , 2010, Cognitive Neurodynamics.
[16] Ernst Fernando Lopes Da Silva Niedermeyer,et al. Electroencephalography, basic principles, clinical applications, and related fields , 1982 .
[17] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[18] KERNEL NONNEGATIVE MATRIX FACTORIZATION FOR SPECTRAL EEG FEATURE EXTRACTION , 2010 .
[19] H. Lyytinen,et al. Frequency-response-based Wavelet Decomposition for Extracting Children's Mismatch Negativity Elicited by Uninterrupted Sound , 2011 .
[20] U. Rajendra Acharya,et al. Automatic Detection of Epileptic EEG Signals Using Higher Order cumulant Features , 2011, Int. J. Neural Syst..
[21] P. Ekman. Pictures of Facial Affect , 1976 .
[22] H. Kiers,et al. Three-mode principal components analysis: choosing the numbers of components and sensitivity to local optima. , 2000, The British journal of mathematical and statistical psychology.
[23] Andrzej Cichocki,et al. Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification , 2011, Neurocomputing.
[24] H. Berger. Über das Elektrenkephalogramm des Menschen , 1933, Archiv für Psychiatrie und Nervenkrankheiten.
[25] Vince D. Calhoun,et al. A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data , 2009, NeuroImage.
[26] Bülent Yener,et al. Unsupervised Multiway Data Analysis: A Literature Survey , 2009, IEEE Transactions on Knowledge and Data Engineering.
[27] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[28] R. Bro,et al. A new efficient method for determining the number of components in PARAFAC models , 2003 .
[29] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[30] Liqing Zhang,et al. Regularized tensor discriminant analysis for single trial EEG classification in BCI , 2010, Pattern Recognit. Lett..
[31] Andrzej Cichocki,et al. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations , 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[32] Klaus Lehnertz,et al. Measuring the Directionality of Coupling: Phase versus State Space Dynamics and Application to EEG Time Series , 2007, Int. J. Neural Syst..
[33] M. Mørup,et al. Sparse Coding and Automatic Relevance Determination for Multi-way models , 2009 .
[34] Desney S. Tan,et al. Brain-Computer Interfaces - Applying our Minds to Human-Computer Interaction , 2010, Human-Computer Interaction Series.
[35] Michael W. Eysenck,et al. Trait anxiety, anxious mood, and threat detection. , 1995 .
[36] R. Näätänen,et al. The mismatch negativity: an index of cognitive decline in neuropsychiatric and neurological diseases and in ageing. , 2011, Brain : a journal of neurology.
[37] Heikki Lyytinen,et al. Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential , 2010, LVA/ICA.
[38] Heikki Lyytinen,et al. Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[39] Karl J. Friston,et al. Mechanisms of evoked and induced responses in MEG/EEG , 2006, NeuroImage.
[40] J. Joutsensalo,et al. Optimal Digital Filtering versus Difference Waves on the Mismatch Negativity in an Uninterrupted Sound Paradigm , 2007, Developmental neuropsychology.
[41] J. Hietanen,et al. Dimension reduction: Additional benefit of an optimal filter for independent component analysis to extract event-related potentials , 2011, Journal of Neuroscience Methods.
[42] 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.
[43] Daniel Lundqvist,et al. Looking for foes and friends: perceptual and emotional factors when finding a face in the crowd. , 2005, Emotion.
[44] Heikki Lyytinen,et al. Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials , 2010, ISNN.
[45] F. L. Hitchcock. The Expression of a Tensor or a Polyadic as a Sum of Products , 1927 .
[46] Heikki Lyytinen,et al. Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array , 2012, Int. J. Neural Syst..
[47] C. Grau,et al. Theta EEG oscillatory activity and auditory change detection , 2008, Brain Research.
[48] Andrzej Cichocki,et al. Nonnegative Tensor Factorization for Continuous EEG Classification , 2007, Int. J. Neural Syst..
[49] U. Rajendra Acharya,et al. Automatic Identification of Epileptic and Background EEG Signals Using Frequency Domain Parameters , 2010, Int. J. Neural Syst..
[50] Hans Berger,et al. Über das Elektrenkephalogramm des Menschen , 1932, Archiv für Psychiatrie und Nervenkrankheiten.
[51] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[52] Gábor P. Háden,et al. Auditory temporal grouping in newborn infants. , 2007, Psychophysiology.
[53] A. Walker. Electroencephalography, Basic Principles, Clinical Applications and Related Fields , 1982 .
[54] J. Mattingley,et al. Look at me, I'm smiling: Visual search for threatening and nonthreatening facial expressions , 2005 .
[55] Kyuwan Choi,et al. Detecting the Number of Clusters in n-Way Probabilistic Clustering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Hojjat Adeli,et al. Functional community analysis of brain: A new approach for EEG-based investigation of the brain pathology , 2011, NeuroImage.
[57] H. Adeli,et al. Intrahemispheric, interhemispheric, and distal EEG coherence in Alzheimer’s disease , 2011, Clinical Neurophysiology.
[58] Hojjat Adeli,et al. New diagnostic EEG markers of the Alzheimer’s disease using visibility graph , 2010, Journal of Neural Transmission.
[59] Patrick Dupont,et al. Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone , 2007, NeuroImage.
[60] A. Cichocki,et al. Tensor decompositions for feature extraction and classification of high dimensional datasets , 2010 .