Evaluation of different measures of functional connectivity using a neural mass model
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[1] F. H. Lopes da Silva,et al. Interdependence of EEG signals: Linear vs. nonlinear Associations and the significance of time delays and phase shifts , 2005, Brain Topography.
[2] Olivier David,et al. Waves of consciousness: ongoing cortical patterns during binocular rivalry , 2004, NeuroImage.
[3] Ben H. Jansen,et al. Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns , 1995, Biological Cybernetics.
[4] F. H. Lopes da Silva,et al. Model of brain rhythmic activity , 1974, Kybernetik.
[5] Karl J. Friston,et al. A neural mass model for MEG/EEG: coupling and neuronal dynamics , 2003, NeuroImage.
[6] Dominique Hasboun,et al. A multitrial analysis for revealing significant corticocortical networks in magnetoencephalography and electroencephalography , 2003, NeuroImage.
[7] C. Stam,et al. Nonlinear synchronization in EEG and whole‐head MEG recordings of healthy subjects , 2003, Human brain mapping.
[8] J. Martinerie,et al. Statistical assessment of nonlinear causality: application to epileptic EEG signals , 2003, Journal of Neuroscience Methods.
[9] Frank Tong,et al. Cognitive neuroscience: Primary visual cortex and visual awareness , 2003, Nature Reviews Neuroscience.
[10] Olivier David,et al. Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony , 2002, IEEE Transactions on Biomedical Engineering.
[11] Olivier David,et al. Time-Coherent Expansion of MEG/EEG Cortical Sources , 2002, NeuroImage.
[12] C. Stam,et al. Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets , 2002 .
[13] S. Schiff,et al. Decreased Neuronal Synchronization during Experimental Seizures , 2002, The Journal of Neuroscience.
[14] John R. Terry,et al. Detection and description of non-linear interdependence in normal multichannel human EEG data , 2002, Clinical Neurophysiology.
[15] R. Quiroga,et al. Reply to ``Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals' '' , 2001, nlin/0109023.
[16] N. Logothetis,et al. Visual competition , 2002, Nature Reviews Neuroscience.
[17] Richard M. Leahy,et al. Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..
[18] W. Singer,et al. Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.
[19] J. Martinerie,et al. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.
[20] H. Abarbanel,et al. Neurodynamics: nonlinear dynamics and neurobiology , 2001, Current Opinion in Neurobiology.
[21] J. Bellanger,et al. Interpretation of interdependencies in epileptic signals using a macroscopic physiological model of the EEG , 2001, Clinical Neurophysiology.
[22] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[23] S. Dehaene,et al. Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework , 2001, Cognition.
[24] A. Schnitzler,et al. Dynamic imaging of coherent sources: Studying neural interactions in the human brain. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[25] E. Haskell,et al. Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size , 2001 .
[26] Ernesto Pereda,et al. Assessment of changing interdependencies between human electroencephalograms using nonlinear methods , 2001 .
[27] D. Tranchina,et al. Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size. , 2001, Network.
[28] Jürgen Kurths,et al. Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.
[29] 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.
[30] Olaf Sporns,et al. Connectivity and complexity: the relationship between neuroanatomy and brain dynamics , 2000, Neural Networks.
[31] F. Mormann,et al. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients , 2000 .
[32] Fabrice Wendling,et al. Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals , 2000, Biological Cybernetics.
[33] 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.
[34] R. Quiroga,et al. Learning driver-response relationships from synchronization patterns. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[35] E. Halgren,et al. Cognitive response profile of the human fusiform face area as determined by MEG. , 2000, Cerebral cortex.
[36] F. L. D. Silva,et al. Dynamics of the human alpha rhythm: evidence for non-linearity? , 1999, Clinical Neurophysiology.
[37] M. Mesulam,et al. Spatial attention and neglect: parietal, frontal and cingulate contributions to the mental representation and attentional targeting of salient extrapersonal events. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[38] P. Grassberger,et al. A robust method for detecting interdependences: application to intracranially recorded EEG , 1999, chao-dyn/9907013.
[39] D. P. Russell,et al. Increased Synchronization of Neuromagnetic Responses during Conscious Perception , 1999, The Journal of Neuroscience.
[40] O. Bertrand,et al. Oscillatory gamma activity in humans and its role in object representation , 1999, Trends in Cognitive Sciences.
[41] G. Rees,et al. Covariation of activity in visual and prefrontal cortex associated with subjective visual perception. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[42] F. Varela,et al. Perception's shadow: long-distance synchronization of human brain activity , 1999, Nature.
[43] M. Roulston. Estimating the errors on measured entropy and mutual information , 1999 .
[44] F. Varela,et al. Measuring phase synchrony in brain signals , 1999, Human brain mapping.
[45] M. Paluš,et al. Detecting nonlinearity and phase synchronization with surrogate data , 1998, IEEE Engineering in Medicine and Biology Magazine.
[46] Jürgen Kurths,et al. Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography , 1998 .
[47] G. Rees,et al. Neural correlates of perceptual rivalry in the human brain. , 1998, Science.
[48] D. Tucker,et al. EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. , 1997, Electroencephalography and clinical neurophysiology.
[49] 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.
[50] Kurths,et al. Phase synchronization of chaotic oscillators. , 1996, Physical review letters.
[51] S. Bressler. Large-scale cortical networks and cognition , 1995, Brain Research Reviews.
[52] 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.
[53] G. Edelman,et al. A measure for brain complexity: relating functional segregation and integration in the nervous system. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[54] M. Rosenstein,et al. Reconstruction expansion as a geometry-based framework for choosing proper delay times , 1994 .
[55] Theiler,et al. Generating surrogate data for time series with several simultaneously measured variables. , 1994, Physical review letters.
[56] K. Pawelzik,et al. Mutual information and global strange attractors in Taylor-Couette flow , 1994 .
[57] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[58] A. Dale,et al. Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.
[59] H. Abarbanel,et al. Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[60] Honeycutt,et al. Stochastic Runge-Kutta algorithms. I. White noise. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[61] S. Smith,et al. Measurement of interhemispheric time differences in generalised spike-and-wave. , 1992, Electroencephalography and clinical neurophysiology.
[62] Moshe Abeles,et al. Corticonics: Neural Circuits of Cerebral Cortex , 1991 .
[63] G. Carter. Coherence and time delay estimation , 1987, Proceedings of the IEEE.
[64] Theiler,et al. Spurious dimension from correlation algorithms applied to limited time-series data. , 1986, Physical review. A, General physics.
[65] P. Nunez,et al. Electric fields of the brain , 1981 .
[66] F. Takens. Detecting strange attractors in turbulence , 1981 .
[67] Freeman Wj. Models of the dynamics of neural populations. , 1978 .
[68] W. Freeman. Models of the dynamics of neural populations. , 1978, Electroencephalography and clinical neurophysiology. Supplement.