Signal Processing in Neuroscience

[1]  Rui Zhang,et al.  Predicting Inter-session Performance of SMR-Based Brain–Computer Interface Using the Spectral Entropy of Resting-State EEG , 2015, Brain Topography.

[2]  Danilo P Mandic,et al.  Multivariate multiscale entropy: a tool for complexity analysis of multichannel data. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  C. F. Beckmann,et al.  Tensorial extensions of independent component analysis for multisubject FMRI analysis , 2005, NeuroImage.

[4]  W. Penny,et al.  Testing for nested oscillation , 2008, Journal of Neuroscience Methods.

[5]  James R. Booth,et al.  Developmental Increase in Top–Down and Bottom–Up Processing in a Phonological Task: An Effective Connectivity, fMRI Study , 2009, Journal of Cognitive Neuroscience.

[6]  H. Liang,et al.  Artifact reduction in electrogastrogram based on empirical mode decomposition method , 2006, Medical and Biological Engineering and Computing.

[7]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[8]  J. Sleigh,et al.  The bispectral index: a measure of depth of sleep? , 1999, Anesthesia and analgesia.

[9]  A. A. Koronovskii,et al.  Wavelet bicoherence analysis as a method for investigating coherent structures in an electron beam with an overcritical current , 2002 .

[10]  Alfréd Rényi,et al.  Probability Theory , 1970 .

[11]  Jiang Wang,et al.  Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy. , 2015, Chaos.

[12]  Osvaldo A. Rosso,et al.  Brain electrical activity analysis using wavelet-based informational tools (II): Tsallis non-extensivity and complexity measures , 2003 .

[13]  H. Petsche,et al.  Phase-coupling of theta-gamma EEG rhythms during short-term memory processing. , 2002, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[14]  R. Acharya U,et al.  Nonlinear analysis of EEG signals at different mental states , 2004, Biomedical engineering online.

[15]  Yuanqing Li,et al.  Feature extraction with multiscale autoregression of multichannel time series for P300 speller BCI , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  Rodrigo Quian Quiroga,et al.  Nonlinear multivariate analysis of neurophysiological signals , 2005, Progress in Neurobiology.

[17]  F. Mormann,et al.  Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients , 2000 .

[18]  D. Cui,et al.  Cortical Source Multivariate EEG Synchronization Analysis on Amnestic Mild Cognitive Impairment in Type 2 Diabetes , 2014, TheScientificWorldJournal.

[19]  A. Konnerth,et al.  Gamma-frequency oscillations: a neuronal population phenomenon, regulated by synaptic and intrinsic cellular processes, and inducing synaptic plasticity , 1998, Progress in Neurobiology.

[20]  Zhenhu Liang,et al.  Parameter selection in permutation entropy for an electroencephalographic measure of isoflurane anesthetic drug effect , 2013, Journal of Clinical Monitoring and Computing.

[21]  A. Kraskov,et al.  Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Andrzej Cichocki,et al.  Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective , 2014, IEEE Signal Processing Magazine.

[23]  A. Selverston,et al.  Dynamical principles in neuroscience , 2006 .

[24]  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..

[25]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[26]  Zhenhu Liang,et al.  Multiscale permutation entropy analysis of EEG recordings during sevoflurane anesthesia , 2010, Journal of neural engineering.

[27]  Jens Timmer,et al.  Direct or indirect? Graphical models for neural oscillators , 2004, Journal of Physiology-Paris.

[28]  W. Singer,et al.  Visuomotor integration is associated with zero time-lag synchronization among cortical areas , 1997, Nature.

[29]  M. Takashina,et al.  Changes of Electroencephalographic Bicoherence during Isoflurane Anesthesia Combined with Epidural Anesthesia , 2002, Anesthesiology.

[30]  D. Contreras,et al.  Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  Xiaoli Li,et al.  Estimation of genuine and random synchronization in multivariate neural series , 2010, Neural Networks.

[32]  L. Tucker,et al.  Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.

[33]  Yoko Yamaguchi,et al.  Human cortical circuits for central executive function emerge by theta phase synchronization , 2007, NeuroImage.

[34]  Yngvar Larsen,et al.  Analysis of non-stationary mode coupling by means of wavelet-bicoherence , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[35]  David P. Nicholls,et al.  Assessing instantaneous synchrony of nonlinear nonstationary oscillators in the brain , 2010, Journal of Neuroscience Methods.

[36]  W. Gersch,et al.  Epileptic Focus Location: Spectral Analysis Method , 1970, Science.

[37]  A. Yli-Hankala,et al.  Quantification of Epileptiform Electroencephalographic Activity during Sevoflurane Mask Induction , 2007, Anesthesiology.

[38]  C. Tsallis,et al.  The role of constraints within generalized nonextensive statistics , 1998 .

[39]  T. Seppänen,et al.  Propofol anesthesia induces phase synchronization changes in EEG , 2001, Clinical Neurophysiology.

[40]  J. Hobson,et al.  The Role of Sleep in Learning and Memory , 2014 .

[41]  Marcello Massimini,et al.  Sleep homeostasis and cortical synchronization: III. A high-density EEG study of sleep slow waves in humans. , 2007, Sleep.

[42]  Andrzej Cichocki,et al.  Tensor Decompositions: A New Concept in Brain Data Analysis? , 2013, ArXiv.

[43]  Xiaoli Li,et al.  MULTISCALE ENTROPY ANALYSIS OF EEG RECORDINGS IN EPILEPTIC RATS , 2009 .

[44]  Kurths,et al.  Phase synchronization of chaotic oscillators. , 1996, Physical review letters.

[45]  H. Abarbanel,et al.  Generalized synchronization of chaos: The auxiliary system approach. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[46]  Hojjat Adeli,et al.  Fuzzy Synchronization Likelihood-wavelet methodology for diagnosis of autism spectrum disorder , 2012, Journal of Neuroscience Methods.

[47]  R. Burke,et al.  Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[48]  J. Born,et al.  Sustained increase in hippocampal sharp-wave ripple activity during slow-wave sleep after learning. , 2008, Learning & memory.

[49]  Anesthesia Depth–dependent Features of Electroencephalographic Bicoherence Spectrum during Sevoflurane Anesthesia , 2008, Anesthesiology.

[50]  M. Berger,et al.  High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex , 2006, Science.

[51]  M. L. Williams,et al.  Auditory Recall and Response to Command during Recovery from Propofol Anaesthesia , 1999, Anaesthesia and intensive care.

[52]  C. Granger.  Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[53]  Karl J. Friston,et al.  Evaluation of different measures of functional connectivity using a neural mass model , 2004, NeuroImage.

[54]  Michel Le Van Quyen,et al.  Analysis of dynamic brain oscillations: methodological advances , 2007, Trends in Neurosciences.

[55]  M. Rosenblum,et al.  Identification of coupling direction: application to cardiorespiratory interaction. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[56]  L. M. Ward,et al.  Synchronous neural oscillations and cognitive processes , 2003, Trends in Cognitive Sciences.

[57]  M. I. Cohen,et al.  Preferential correlations of a medullary neuron's activity to different sympathetic outflows as revealed by partial coherence analysis. , 1995, Journal of neurophysiology.

[58]  Andrzej Cichocki,et al.  Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation , 2012, IEEE Transactions on Signal Processing.

[59]  Stefan Haufe,et al.  A critical assessment of connectivity measures for EEG data: A simulation study , 2013, NeuroImage.

[60]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[61]  G. Carter.  Coherence and time delay estimation , 1987, Proceedings of the IEEE.

[62]  Toshihiko Kinoshita,et al.  Global Approach to Multichannel Electroencephalogram Analysis for Diagnosis and Clinical Evaluation in Mild Alzheimer’s Disease , 2004, Neuropsychobiology.

[63]  Wangxin Yu,et al.  Characterization of Surface EMG Signal Based on Fuzzy Entropy , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[64]  James R. Booth,et al.  Weaker top–down modulation from the left inferior frontal gyrus in children , 2006, NeuroImage.

[65]  P. Seba,et al.  Random matrix analysis of human EEG data. , 2003, Physical review letters.

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

[67]  George Zouridakis,et al.  A comparison of multivariate causality based measures of effective connectivity , 2011, Comput. Biol. Medicine.

[68]  C. Bandt.  Ordinal time series analysis , 2005 .

[69]  D. Ruelle,et al.  Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems , 1992 .

[70]  Koichi Takahashi,et al.  Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: A multiscale entropy analysis , 2010, NeuroImage.

[71]  J. Fell,et al.  Phase/amplitude reset and theta–gamma interaction in the human medial temporal lobe during a continuous word recognition memory task , 2005, Hippocampus.

[72]  L. Jameson,et al.  Using EEG to monitor anesthesia drug effects during surgery , 2006, Journal of Clinical Monitoring and Computing.

[73]  E. Brown,et al.  General anesthesia, sleep, and coma. , 2010, The New England journal of medicine.

[74]  M. Mahowald,et al.  Non-rapid eye movement sleep parasomnias. , 2005, Neurologic clinics.

[75]  Xue Wang,et al.  Estimating Granger causality after stimulus onset: A cautionary note , 2008, NeuroImage.

[76]  M Palus,et al.  Synchronization as adjustment of information rates: detection from bivariate time series. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[77]  Olaf Sporns,et al.  Disturbed resting state EEG synchronization in bipolar disorder: A graph-theoretic analysis☆ , 2013, NeuroImage: Clinical.

[78]  Koichi Sameshima,et al.  Using partial directed coherence to describe neuronal ensemble interactions , 1999, Journal of Neuroscience Methods.

[79]  Madalena Costa,et al.  Multiscale entropy analysis of biological signals. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[80]  Lee M. Miller,et al.  Measuring interregional functional connectivity using coherence and partial coherence analyses of fMRI data , 2004, NeuroImage.

[81]  Xiaoli Li,et al.  Theta–gamma coupling reflects the interaction of bottom-up and top-down processes in speech perception in children , 2014, NeuroImage.

[82]  Alois Schlögl,et al.  The Electroencephalogram and the Adaptive Autoregressive Model: Theory and Applications , 2000 .

[83]  George A. Mashour,et al.  Propofol Induction Reduces the Capacity for Neural Information Integration: Implications for the Mechanism of Consciousness and General Anesthesia , 2008 .

[84]  A. Arapostathis,et al.  A Novel QPC Detector for the Health Monitoring of Rotating Machines , 2007, 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007.

[85]  J. Born,et al.  Grouping of Spindle Activity during Slow Oscillations in Human Non-Rapid Eye Movement Sleep , 2002, The Journal of Neuroscience.

[86]  Jianfeng Feng,et al.  Is partial coherence a viable technique for identifying generators of neural oscillations? , 2004, Biological Cybernetics.

[87]  C. Elger,et al.  CAN EPILEPTIC SEIZURES BE PREDICTED? EVIDENCE FROM NONLINEAR TIME SERIES ANALYSIS OF BRAIN ELECTRICAL ACTIVITY , 1998 .

[88]  G. Tononi,et al.  Sleep homeostasis and cortical synchronization: II. A local field potential study of sleep slow waves in the rat. , 2007, Sleep.

[89]  J. Sleigh,et al.  Analysis of depth of anesthesia with Hilbert–Huang spectral entropy , 2008, Clinical Neurophysiology.

[90]  A. M. Kowalski,et al.  Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy , 2008 .

[91]  Carsten O. Daub,et al.  The mutual information: Detecting and evaluating dependencies between variables , 2002, ECCB.

[92]  Schreiber,et al.  Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[93]  J. Bruhn,et al.  Depth of anaesthesia monitoring: what's available, what's validated and what's next? , 2006, British journal of anaesthesia.

[94]  Milan Palus,et al.  Direction of coupling from phases of interacting oscillators: an information-theoretic approach. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[95]  J. Sleigh,et al.  Monitoring consciousness: the current status of EEG-based depth of anaesthesia monitors. , 2007, Best practice & research. Clinical anaesthesiology.

[96]  Igor Vajda,et al.  Estimation of the Information by an Adaptive Partitioning of the Observation Space , 1999, IEEE Trans. Inf. Theory.

[97]  Michael X Cohen,et al.  Assessing transient cross-frequency coupling in EEG data , 2008, Journal of Neuroscience Methods.

[98]  Gabriel Rilling,et al.  On empirical mode decomposition and its algorithms , 2003 .

[99]  L M Hively,et al.  Detecting dynamical changes in time series using the permutation entropy. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[100]  J. Sleigh,et al.  Permutation entropy of the electroencephalogram: a measure of anaesthetic drug effect. , 2008, British journal of anaesthesia.

[101]  Andrzej Cichocki,et al.  A new nonlinear similarity measure for multichannel signals , 2008, Neural Networks.

[102]  Warren D. Smith,et al.  Measuring the Performance of Anesthetic Depth Indicators , 1996, Anesthesiology.

[103]  L. Györfi,et al.  Nonparametric entropy estimation. An overview , 1997 .

[104]  W. Singer,et al.  Neural Synchrony in Brain Disorders: Relevance for Cognitive Dysfunctions and Pathophysiology , 2006, Neuron.

[105]  Karl J. Friston,et al.  A neural mass model for MEG/EEG: coupling and neuronal dynamics , 2003, NeuroImage.

[106]  U. Stephani,et al.  Localized short-range correlations in the spectrum of the equal-time correlation matrix. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[107]  M. Rosenblum,et al.  Detecting direction of coupling in interacting oscillators. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[108]  C. D. Kemp,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[109]  Mark A Kramer,et al.  Synchronization measures of bursting data: application to the electrocorticogram of an auditory event-related experiment. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[110]  Xiaoli Li.  Temporal structure of neuronal population oscillations with empirical model decomposition , 2006 .

[111]  Hualou Liang,et al.  Perceptual suppression revealed by Adaptive Multi-Scale Entropy Analysis of Local Field potential in monkey Visual cortex , 2013, Int. J. Neural Syst..

[112]  Xiaoli Li,et al.  EEG entropy measures in anesthesia , 2015, Front. Comput. Neurosci..

[113]  Hualou Liang,et al.  Causal influence: advances in neurosignal analysis. , 2005, Critical reviews in biomedical engineering.

[114]  W. Lytton.  Computer modelling of epilepsy , 2008, Nature Reviews Neuroscience.

[115]  Laura D. Lewis,et al.  Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness , 2012, Proceedings of the National Academy of Sciences.

[116]  L Elliot Hong,et al.  High vs low frequency neural oscillations in schizophrenia. , 2011, Schizophrenia bulletin.

[117]  Tapani Ristaniemi,et al.  Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials , 2014, Int. J. Neural Syst..

[118]  Eugenio Rodriguez,et al.  Studying Single-Trials of phase Synchronous Activity in the Brain , 2000, Int. J. Bifurc. Chaos.

[119]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1987 .

[120]  Dong-Soo Kim,et al.  Evaluation of the dispersive phase and group velocities using harmonic wavelet transform , 2001 .

[121]  Klaus Lehnertz,et al.  Measuring synchronization in coupled model systems: A comparison of different approaches , 2007 .

[122]  John R. Terry,et al.  NONLINEAR INTERDEPENDENCE IN NEURAL SYSTEMS: MOTIVATION, THEORY, AND RELEVANCE , 2002, The International journal of neuroscience.

[123]  A. Kraskov,et al.  Bivariate surrogate techniques: necessity, strengths, and caveats. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[124]  David Friedman,et al.  Cross-frequency phase coupling of brain rhythms during the orienting response , 2008, Brain Research.

[125]  Christophe Phillips,et al.  Brain functional integration decreases during propofol-induced loss of consciousness , 2011, NeuroImage.

[126]  Olaf Sporns,et al.  Mapping Information Flow in Sensorimotor Networks , 2006, PLoS Comput. Biol..

[127]  T. Inouye,et al.  Quantification of EEG irregularity by use of the entropy of the power spectrum. , 1991, Electroencephalography and clinical neurophysiology.

[128]  H. S. Kim,et al.  Nonlinear dynamics , delay times , and embedding windows , 1999 .

[129]  P. Nunez,et al.  Spatial‐temporal structures of human alpha rhythms: Theory, microcurrent sources, multiscale measurements, and global binding of local networks , 2001, Human brain mapping.

[130]  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.

[131]  C. Stam,et al.  Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets , 2002 .

[132]  Gaoxiang Ouyang,et al.  Permutation auto-mutual information of electroencephalogram in anesthesia , 2013, Journal of neural engineering.

[133]  Hui Yang,et al.  Multiscale recurrence analysis of long-term nonlinear and nonstationary time series , 2012 .

[134]  F Wendling,et al.  EEG extended source localization: Tensor-based vs. conventional methods , 2014, NeuroImage.

[135]  R. A. Thuraisingham.  A new method using coherence to obtain the model order in the evaluation of partial directed coherence , 2007, Comput. Biol. Medicine.

[136]  Jiaxiang Zhang,et al.  Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine , 2016, Journal of Neuroscience Methods.

[137]  G. Buzsáki.  Rhythms of the brain , 2006 .

[138]  Michael Eichler,et al.  Abstract Journal of Neuroscience Methods xxx (2005) xxx–xxx Testing for directed influences among neural signals using partial directed coherence , 2005 .

[139]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[140]  R. Ward,et al.  EMG and EOG artifacts in brain computer interface systems: A survey , 2007, Clinical Neurophysiology.

[141]  Laura Astolfi,et al.  Causality estimates among brain cortical areas by Partial Directed Coherence: simulations and application to real data , 2005 .

[142]  Weiting Chen,et al.  Measuring complexity using FuzzyEn, ApEn, and SampEn. , 2009, Medical engineering & physics.

[143]  T. Bullock,et al.  Bicoherence of intracranial EEG in sleep, wakefulness and seizures. , 1997, Electroencephalography and clinical neurophysiology.

[144]  A. Haig,et al.  Synchronous cortical gamma‐band activity in task‐relevant cognition , 2000, Neuroreport.

[145]  S. Bressler,et al.  Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[146]  D. Alistair Steyn-Ross,et al.  Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[147]  Simon Hanslmayr,et al.  Alpha phase reset contributes to the generation of ERPs. , 2006, Cerebral cortex.

[148]  E. Basar,et al.  Wavelet entropy: a new tool for analysis of short duration brain electrical signals , 2001, Journal of Neuroscience Methods.

[149]  J. Martinerie,et al.  Anticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordings. , 1999, Neuroreport.

[150]  Karl J. Friston,et al.  Assessing interactions among neuronal systems using functional neuroimaging , 2000, Neural Networks.

[151]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[152]  Min Lei,et al.  [Pattern recognition of surface electromyography signal based on multi-scale fuzzy entropy]. , 2012, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.

[153]  A. Schnitzler,et al.  Normal and pathological oscillatory communication in the brain , 2005, Nature Reviews Neuroscience.

[154]  Miguel A L Nicolelis,et al.  Reverberation, storage, and postsynaptic propagation of memories during sleep. , 2004, Learning & memory.

[155]  J. Sleigh,et al.  Pharmacokinetic-Pharmacodynamic Modeling the Hypnotic Effect of Sevoflurane Using the Spectral Entropy of the Electroencephalogram , 2006, Anesthesia and analgesia.

[156]  Reza Tafreshi,et al.  An entropy-based approach to predict seizures in temporal lobe epilepsy using scalp EEG , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[157]  Juergen Kurths,et al.  Synchronization in a population of globally coupled chaotic oscillators , 1996 .

[158]  Alireza Zali,et al.  Clinical analysis of EEG parameters in prediction of the depth of anesthesia in different stages: a comparative study. , 2009 .

[159]  Madalena Costa,et al.  Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.

[160]  C. Stam,et al.  Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis , 2006, Neuroscience Letters.

[161]  M. Takashina,et al.  Practical Issues in Bispectral Analysis of Electroencephalographic Signals , 2001, Anesthesia and analgesia.

[162]  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.

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

[164]  O. G. Okogbaa,et al.  On the investigation of the neurophysiological correlates of knowledge worker mental fatigue using the EEG signal. , 1994, Applied ergonomics.

[165]  Thomas Schreiber,et al.  Classification of Time Series Data with Nonlinear Similarity Measures , 1997 .

[166]  M. Paluš,et al.  Directionality of coupling from bivariate time series: how to avoid false causalities and missed connections. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[167]  H. Sebastian Seung,et al.  Algorithms for Non-negative Matrix Factorization , 2000, NIPS.

[168]  Luc H. Arnal,et al.  Transitions in neural oscillations reflect prediction errors generated in audiovisual speech , 2011, Nature Neuroscience.

[169]  Mikel Aickin,et al.  Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia , 2012, Homeopathy.

[170]  Yin Fen Low,et al.  EEG phase reset due to auditory attention: an inverse time-scale approach , 2009, Physiological measurement.

[171]  G. Buzsáki,et al.  Neuronal Oscillations in Cortical Networks , 2004, Science.

[172]  Sang-Hyun Park,et al.  Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[173]  Xiaoli Li,et al.  Dynamical characteristics of pre-epileptic seizures in rats with recurrence quantification analysis , 2004 .

[174]  Gianluigi Reni,et al.  Infant's emotional variability associated to interactive stressful situation: a novel analysis approach with Sample Entropy and Lempel-Ziv Complexity. , 2010, Infant behavior & development.

[175]  L. Tsimring,et al.  Generalized synchronization of chaos in directionally coupled chaotic systems. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[176]  Duan Li,et al.  Effects of Volatile Anesthetic Agents on Cerebral Cortical Synchronization in Sheep , 2013, Anesthesiology.

[177]  Xiaoli Li,et al.  Interaction dynamics of neuronal oscillations analysed using wavelet transforms , 2007, Journal of Neuroscience Methods.

[178]  C. Stam,et al.  Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.

[179]  Katarzyna J. Blinowska,et al.  A new method of the description of the information flow in the brain structures , 1991, Biological Cybernetics.

[180]  H. Eichenbaum,et al.  Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. , 2010, Journal of neurophysiology.

[181]  O. A. Rossoa,et al.  Brain electrical activity analysis using wavelet-based informational tools , 2002 .

[182]  J. Escudero,et al.  Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy , 2006, Physiological measurement.

[183]  Peter S. Sebel,et al.  Development and Clinical Application of Electroencephalographic Bispectrum Monitoring , 2000, Anesthesiology.

[184]  Jens Timmer,et al.  Detection of directed information flow in biosignals , 2006, Biomedizinische Technik. Biomedical engineering.

[185]  Rasmus Bro,et al.  MULTI-WAY ANALYSIS IN THE FOOD INDUSTRY Models, Algorithms & Applications , 1998 .

[186]  M. Stecker,et al.  Bispectral analysis of visual interactions in humans. , 1996, Electroencephalography and clinical neurophysiology.

[187]  M. Steriade.  Impact of network activities on neuronal properties in corticothalamic systems. , 2001, Journal of neurophysiology.

[188]  Selin Aviyente,et al.  A phase synchrony measure for quantifying dynamic functional integration in the brain , 2011, Human brain mapping.

[189]  M.R. Raghuveer,et al.  Bispectrum estimation: A digital signal processing framework , 1987, Proceedings of the IEEE.

[190]  Lino Nobili,et al.  Slow EEG rhythms and inter-hemispheric synchronization across sleep and wakefulness in the human hippocampus , 2012, NeuroImage.

[191]  N. Marwan,et al.  Nonlinear analysis of bivariate data with cross recurrence plots , 2002, physics/0201061.

[192]  J. White,et al.  Networks of interneurons with fast and slow gamma-aminobutyric acid type A (GABAA) kinetics provide substrate for mixed gamma-theta rhythm. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[193]  R. Quiroga,et al.  Learning driver-response relationships from synchronization patterns. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[194]  James R. Booth,et al.  Development of brain networks involved in spoken word processing of Mandarin Chinese , 2011, NeuroImage.

[195]  F.C. Morabito,et al.  Brain Activity Investigation by EEG Processing: Wavelet Analysis, Kurtosis and Renyi's Entropy for Artifact Detection , 2007, 2007 International Conference on Information Acquisition.

[196]  J. Fermaglich.  Electric Fields of the Brain: The Neurophysics of EEG , 1982 .

[197]  Tapani Ristaniemi,et al.  Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG , 2013, Int. J. Neural Syst..

[198]  Jürgen Kurths,et al.  Eigenvalue Decomposition as a Generalized Synchronization Cluster Analysis , 2007, Int. J. Bifurc. Chaos.

[199]  J E Lisman,et al.  Storage of 7 +/- 2 short-term memories in oscillatory subcycles , 1995, Science.

[200]  Xiao-Jing Wang.  Neurophysiological and computational principles of cortical rhythms in cognition. , 2010, Physiological reviews.

[201]  Jürgen Kurths,et al.  Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography , 1998 .

[202]  Grigory V. Osipov,et al.  PHASE SYNCHRONIZATION EFFECTS IN A LATTICE OF NONIDENTICAL ROSSLER OSCILLATORS , 1997 .

[203]  N. Thakor,et al.  Parameterized entropy analysis of EEG following hypoxic–ischemic brain injury , 2003 .

[204]  J. Kurths,et al.  Phase synchronization: from theory to data analysis , 2003 .

[205]  Francesco Carlo Morabito,et al.  Entropic Measures of EEG Complexity in Alzheimer's Disease Through a Multivariate Multiscale Approach , 2013, IEEE Sensors Journal.

[206]  E. Powers,et al.  Digital Bispectral Analysis and Its Applications to Nonlinear Wave Interactions , 1979, IEEE Transactions on Plasma Science.

[207]  D. Gribkov,et al.  Learning dynamics from nonstationary time series: analysis of electroencephalograms. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[208]  J. O'Keefe,et al.  The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.

[209]  John R. Terry,et al.  Topographic Organization of Nonlinear Interdependence in Multichannel Human EEG , 2002, NeuroImage.

[210]  T. Mclardy,et al.  Hippocampal Formation of Brain as Detector-Coder of Temporal Patterns of Information , 2015, Perspectives in biology and medicine.

[211]  Hugo G. Schnack,et al.  Changes in the Developmental Trajectories of Striatum in Autism , 2009, Biological Psychiatry.

[212]  W. Kukull,et al.  Cognitive decline in Alzheimer's disease , 1995 .

[213]  Edward J. Powers,et al.  The statistics of wavelet-based bicoherence , 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

[214]  D. Ruelle,et al.  Recurrence Plots of Dynamical Systems , 1987 .

[215]  Rolf Pfeifer,et al.  Measuring information transfer in a soft robotic arm , 2014, Bioinspiration & biomimetics.

[216]  L. Danober,et al.  Pathophysiological mechanisms of genetic absence epilepsy in the rat , 1998, Progress in Neurobiology.

[217]  B. Min,et al.  Analysis of mutual information content for EEG responses to odor stimulation for subjects classified by occupation. , 2003, Chemical senses.

[218]  T. Hafting,et al.  Frequency of gamma oscillations routes flow of information in the hippocampus , 2009, Nature.

[219]  M. Paluš,et al.  Inferring the directionality of coupling with conditional mutual information. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[220]  P. Grassberger,et al.  Characterization of Strange Attractors , 1983 .

[221]  C. Stam,et al.  Seizure detection in adult ICU patients based on changes in EEG synchronization likelihood , 2006, Neurocritical care.

[222]  Reza Boostani,et al.  A wavelet-based estimating depth of anesthesia , 2012, Eng. Appl. Artif. Intell..

[223]  Robert W Thatcher,et al.  Development of cortical connections as measured by EEG coherence and phase delays , 2008, Human brain mapping.

[224]  Michel Le Van Quyen,et al.  Disentangling the dynamic core: a research program for a neurodynamics at the large-scale , 2003 .

[225]  J. Bruhn,et al.  Approximate Entropy as an Electroencephalographic Measure of Anesthetic Drug Effect during Desflurane Anesthesia , 2000, Anesthesiology.

[226]  V. Astakhov,et al.  Information theoretic approach to quantify complete and phase synchronization of chaos. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[227]  B. Vanacker.  Sevoflurane mask induction in adults: comparison of two inhalation techniques. , 1997, Acta anaesthesiologica Belgica.

[228]  I. Gath,et al.  On the prediction of epileptic seizures , 1981, Biological Cybernetics.

[229]  Hong Bao,et al.  GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia , 2010, IEEE Transactions on Information Technology in Biomedicine.

[230]  S. Cerutti,et al.  Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing , 1997, Medical and Biological Engineering and Computing.

[231]  Indranil Pan,et al.  Brain connectivity analysis from EEG signals using stable phase-synchronized states during face perception tasks , 2015 .

[232]  Wlodzislaw Duch,et al.  Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees , 2006, ICAISC.

[233]  J. Born,et al.  Low acetylcholine during slow-wave sleep is critical for declarative memory consolidation , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[234]  Xiaoli Li,et al.  Estimating coupling direction between neuronal populations with permutation conditional mutual information , 2010, NeuroImage.

[235]  J. Hobson,et al.  The Neurobiology of Sleep: Genetics, cellular physiology and subcortical networks , 2002, Nature Reviews Neuroscience.

[236]  Francesco Carlo Morabito,et al.  Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer's Disease EEG , 2012, Entropy.

[237]  W. Singer,et al.  Modulation of Neuronal Interactions Through Neuronal Synchronization , 2007, Science.

[238]  J. Kowalski,et al.  Evidence-Based Evaluation of Diagnostic Accuracy of Resting EEG in Dementia and Mild Cognitive Impairment , 2009, Clinical EEG and neuroscience.

[239]  Xiaoli Li,et al.  Synchronization measurement of multiple neuronal populations. , 2007, Journal of neurophysiology.

[240]  Zhenhu Liang,et al.  Multi-scale sample entropy of electroencephalography during sevoflurane anesthesia , 2014, Journal of Clinical Monitoring and Computing.

[241]  Olivier David,et al.  A THEORETICAL AND EXPERIMENTAL INTRODUCTION TO THE NON-INVASIVE STUDY OF LARGE-SCALE NEURAL PHASE SYNCHRONIZATION IN HUMAN BEINGS (INVITED PAPER) , 2003 .

[242]  Reto Meuli,et al.  Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG , 2007, PloS one.

[243]  Erika E. Fanselow,et al.  Thalamic bursting in rats during different awake behavioral states , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[244]  C. Stam,et al.  Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures , 2007, Clinical Neurophysiology.

[245]  Stéphane Mallat,et al.  A Wavelet Tour of Signal Processing, 2nd Edition , 1999 .

[246]  Heikki Lyytinen,et al.  Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials , 2010, ISNN.

[247]  T Sawa,et al.  Ketamine increases the frequency of electroencephalographic bicoherence peak on the alpha spindle area induced with propofol. , 2007, British journal of anaesthesia.

[248]  H. Petsche,et al.  Long-Range Synchrony in the γ Band: Role in Music Perception , 2001, The Journal of Neuroscience.

[249]  Young-Min Park,et al.  Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease , 2010, Neuroscience Research.

[250]  Samo Ribaric,et al.  Monitoring the Depth of Anaesthesia , 2010, Sensors.

[251]  L. Baccalá,et al.  Overcoming the limitations of correlation analysis for many simultaneously processed neural structures. , 2001, Progress in brain research.

[252]  T. Sejnowski,et al.  Thalamocortical oscillations in the sleeping and aroused brain. , 1993, Science.

[253]  R Quian Quiroga,et al.  Performance of different synchronization measures in real data: a case study on electroencephalographic signals. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[254]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[255]  James P. Crutchfield,et al.  Geometry from a Time Series , 1980 .

[256]  S. Boccaletti,et al.  Synchronization of chaotic systems , 2001 .

[257]  Eugene Zilberg,et al.  Peak and averaged bicoherence for different EEG patterns during general anaesthesia , 2010, Biomedical engineering online.

[258]  D. Tucker,et al.  Functional connections among cortical regions: topography of EEG coherence. , 1986, Electroencephalography and clinical neurophysiology.

[259]  Soo Yong Kim,et al.  MULTISCALE ENTROPY ANALYSIS OF EEG FROM PATIENTS UNDER DIFFERENT PATHOLOGICAL CONDITIONS , 2007 .

[260]  Michael Unser,et al.  A review of wavelets in biomedical applications , 1996, Proc. IEEE.

[261]  B. Antkowiak,et al.  Neocortex is the major target of sedative concentrations of volatile anaesthetics: strong depression of firing rates and increase of GABAA receptor‐mediated inhibition , 2005, The European journal of neuroscience.

[262]  Sacha Jennifer van Albada,et al.  Mean-field modeling of the basal ganglia-thalamocortical system. II Dynamics of parkinsonian oscillations. , 2009, Journal of theoretical biology.

[263]  L. Voss,et al.  Using Permutation Entropy to Measure the Electroencephalographic Effects of Sevoflurane , 2008, Anesthesiology.

[264]  F. H. Lopes da Silva,et al.  Relative contributions of intracortical and thalamo-cortical processes in the generation of alpha rhythms, revealed by partial coherence analysis. , 1980, Electroencephalography and clinical neurophysiology.

[265]  L. Cao.  Practical method for determining the minimum embedding dimension of a scalar time series , 1997 .

[266]  Schmitz.  Measuring statistical dependence and coupling of subsystems , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[267]  Cornelis J Stam,et al.  Graph theoretical analysis of complex networks in the brain , 2007, Nonlinear biomedical physics.

[268]  A. Bruns.  Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches? , 2004, Journal of Neuroscience Methods.

[269]  Cheol Soo Bae,et al.  A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data , 2008, BMC Bioinformatics.

[270]  Schreiber,et al.  Improved Surrogate Data for Nonlinearity Tests. , 1996, Physical review letters.

[271]  Sacha Jennifer van Albada,et al.  Mean-field modeling of the basal ganglia-thalamocortical system. I Firing rates in healthy and parkinsonian states. , 2009, Journal of theoretical biology.

[272]  Francesco Rundo,et al.  Directionality of EEG synchronization in Alzheimer's disease subjects , 2009, Neurobiology of Aging.

[273]  Hualou Liang,et al.  Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment , 2000, Biological Cybernetics.

[274]  Xiaoli Li,et al.  Phase synchronization with harmonic wavelet transform with application to neuronal populations , 2011, Neurocomputing.

[275]  B. Pompe,et al.  Permutation entropy: a natural complexity measure for time series. , 2002, Physical review letters.

[276]  M. V. van Putten.  Proposed link rates in the human brain. , 2003, Journal of neuroscience methods.

[277]  F. H. Lopes da Silva,et al.  Model of brain rhythmic activity , 1974, Kybernetik.

[278]  D. Contreras,et al.  Synchronization of fast (30-40 Hz) spontaneous oscillations in intrathalamic and thalamocortical networks , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[279]  Florin Amzica,et al.  The K-complex: Its slow (<1-Hz) rhythmicity and relation to delta waves , 1997, Neurology.

[280]  C. Stam,et al.  Small-world networks and functional connectivity in Alzheimer's disease. , 2006, Cerebral cortex.

[281]  Manish Sarkar,et al.  Characterization of medical time series using fuzzy similarity-based fractal dimensions , 2003, Artif. Intell. Medicine.

[282]  E. John,et al.  Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment , 2005, Neurobiology of Aging.

[283]  Maria G. Knyazeva,et al.  Assessment of EEG synchronization based on state-space analysis , 2005, NeuroImage.

[284]  A. Giuliani,et al.  Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification , 1998 .

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

[286]  Jeffrey C. Sigl,et al.  Anesthetic Management and One-Year Mortality After Noncardiac Surgery , 2005, Anesthesia and analgesia.

[287]  O. Jensen,et al.  Cross-frequency coupling between neuronal oscillations , 2007, Trends in Cognitive Sciences.

[288]  G. Buzsáki.  Large-scale recording of neuronal ensembles , 2004, Nature Neuroscience.

[289]  Wesley K. Thompson,et al.  MATLAB toolbox for functional connectivity , 2009, NeuroImage.

[290]  Wei-Yen Hsu,et al.  Wavelet-based fractal features with active segment selection: Application to single-trial EEG data , 2007, Journal of Neuroscience Methods.

[291]  Ben H. Jansen,et al.  Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns , 1995, Biological Cybernetics.

[292]  Katarzyna J. Blinowska,et al.  Determination of EEG activity propagation: pair-wise versus multichannel estimate , 2004, IEEE Transactions on Biomedical Engineering.

[293]  C. Granger.  Testing for causality: a personal viewpoint , 1980 .

[294]  Sinikka Münte,et al.  Spectral Entropy as a Measure of Hypnosis and Hypnotic Drug Effect of Total Intravenous Anesthesia in Children during Slow Induction and Maintenance , 2012, Anesthesiology.

[295]  Andrzej Cichocki,et al.  A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG , 2010, NeuroImage.

[296]  C. W. Hall,et al.  Mutual information in natural position order of electroencephalogram is significantly increased at seizure onset , 2011, Medical & Biological Engineering & Computing.

[297]  Fabrice Wendling,et al.  Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals , 2000, Biological Cybernetics.

[298]  Luiz A. Baccalá,et al.  Partial directed coherence: a new concept in neural structure determination , 2001, Biological Cybernetics.

[299]  S. Rombouts,et al.  Disturbed fluctuations of resting state EEG synchronization in Alzheimer's disease , 2005, Clinical Neurophysiology.

[300]  P. Grassberger,et al.  NONLINEAR TIME SEQUENCE ANALYSIS , 1991 .

[301]  Karl J. Friston.  The labile brain. I. Neuronal transients and nonlinear coupling. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[302]  Doris Y. Tsao,et al.  Functional Connectivity in the Brain: Effects of Anesthesia , 2011, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[303]  Jürgen Kurths,et al.  An Approach to Multivariate Phase Synchronization Analysis and its Application to Event-Related Potentials , 2004, Int. J. Bifurc. Chaos.

[304]  J. Martinerie,et al.  Seizure anticipation in human neocortical partial epilepsy. , 2002, Brain : a journal of neurology.

[305]  W. Stacey,et al.  Technology Insight: neuroengineering and epilepsy—designing devices for seizure control , 2008, Nature Clinical Practice Neurology.

[306]  G. Buzsáki,et al.  Interdependence of Multiple Theta Generators in the Hippocampus: a Partial Coherence Analysis , 1999, The Journal of Neuroscience.

[307]  Andrzej Golnik,et al.  A Multiscale Entropy Analysis of Physiological and Malignant Breast Tissues Imaged by an Optical Polarimeter , 2007 .

[308]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[309]  Jürgen Kurths,et al.  Influence of observational noise on the recurrence quantification analysis , 2002 .

[310]  Shuen-De Wu,et al.  Modified multiscale entropy for short-term time series analysis , 2013 .

[311]  S. Seo.  A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets , 2006 .

[312]  Jing Li,et al.  Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures , 2014, Entropy.

[313]  W. Klimesch,et al.  Event-related phase reorganization may explain evoked neural dynamics , 2007, Neuroscience & Biobehavioral Reviews.

[314]  Klaus Lehnertz,et al.  Identifying phase synchronization clusters in spatially extended dynamical systems. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[315]  G. Ouyang,et al.  Predictability analysis of absence seizures with permutation entropy , 2007, Epilepsy Research.

[316]  P. Grassberger,et al.  A robust method for detecting interdependences: application to intracranially recorded EEG , 1999, chao-dyn/9907013.

[317]  Liqing Zhang,et al.  Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data , 2013, IEEE Signal Processing Magazine.

[318]  C. Stam,et al.  Small-world network organization of functional connectivity of EEG slow-wave activity during sleep , 2007, Clinical Neurophysiology.

[319]  Hyeri Yoon,et al.  Automatic detection of seizure termination during electroconvulsive therapy using sample entropy of the electroencephalogram , 2012, Psychiatry Research.

[320]  D. Smirnov,et al.  Estimation of interaction strength and direction from short and noisy time series. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[321]  Yang Zheng,et al.  Epileptic seizure prediction using phase synchronization based on bivariate empirical mode decomposition , 2014, Clinical Neurophysiology.

[322]  Yann LeCun,et al.  Classification of patterns of EEG synchronization for seizure prediction , 2009, Clinical Neurophysiology.

[323]  A. Gevins,et al.  A critical review of electroencephalographic (EEG) correlates of higher cortical functions. , 1980, Critical reviews in bioengineering.

[324]  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.

[325]  UnCheol Lee,et al.  The directionality and functional organization of frontoparietal connectivity during consciousness and anesthesia in humans , 2009, Consciousness and Cognition.

[326]  Satoshi Hagihira,et al.  Electroencephalographic Bicoherence Is Sensitive to Noxious Stimuli during Isoflurane or Sevoflurane Anesthesia , 2004, Anesthesiology.

[327]  Mingzhou Ding,et al.  Estimating correlation dimension from a chaotic time series: when does plateau onset occur? , 1993 .

[328]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .