Nonlinear analyses of interictal EEG map the brain interdependences in human focal epilepsy
暂无分享,去创建一个
[1] J. Martinerie,et al. Epileptic seizures can be anticipated by non-linear analysis , 1998, Nature Medicine.
[2] Fernando H. Lopes da Silva,et al. EEG analysis , 1998 .
[3] J. Martinerie,et al. Nonlinear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures , 1998, Brain Research.
[4] James A. Yorke,et al. Predicting Chaos Most of the Time from Embeddings with Self-Intersections , 1998 .
[5] Jacques Martinerie,et al. Unstable periodic orbits in human epileptic activity , 1997 .
[6] Thomas Schreiber,et al. Classification of Time Series Data with Nonlinear Similarity Measures , 1997 .
[7] Thomas Schreiber,et al. Detecting and Analyzing Nonstationarity in a Time Series Using Nonlinear Cross Predictions , 1997, chao-dyn/9909044.
[8] L D Iasemidis,et al. Non-linearity in invasive EEG recordings from patients with temporal lobe epilepsy. , 1997, Electroencephalography and clinical neurophysiology.
[9] Robert Savit,et al. Stationarity and nonstationarity in time series analysis , 1996 .
[10] Leonidas D. Iasemidis,et al. Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy , 1996 .
[11] 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.
[12] H. Abarbanel,et al. Generalized synchronization of chaos: The auxiliary system approach. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[13] Parlitz,et al. Generalized synchronization, predictability, and equivalence of unidirectionally coupled dynamical systems. , 1996, Physical review letters.
[14] W. Freeman,et al. Spatio-temporal correlations in human gamma band electrocorticograms. , 1996, Electroencephalography and clinical neurophysiology.
[15] Carroll,et al. Statistics for mathematical properties of maps between time series embeddings. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[16] T. Bullock,et al. EEG coherence has structure in the millimeter domain: subdural and hippocampal recordings from epileptic patients. , 1995, Electroencephalography and clinical neurophysiology.
[17] C. Elger,et al. Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss. , 1995, Electroencephalography and clinical neurophysiology.
[18] C. J. Stam,et al. Investigation of nonlinear structure in multichannel EEG , 1995 .
[19] 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.
[20] R Biscay,et al. Measuring the dissimilarity between EEG recordings through a non-linear dynamical system approach. , 1995, International journal of bio-medical computing.
[21] M. F. Shlesinger,et al. The brain as a dynamic physical system , 1994, Neuroscience.
[22] Kantz. Quantifying the closeness of fractal measures. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[23] M. Rosenstein,et al. Reconstruction expansion as a geometry-based framework for choosing proper delay times , 1994 .
[24] Theiler,et al. Generating surrogate data for time series with several simultaneously measured variables. , 1994, Physical review letters.
[25] Ard Teisman,et al. Propagation of Epileptiform Activity During Development of Amygdala Kindling in Rats: Linear and Non‐linear Association Between lpsi‐ and Contralateral Sites , 1993, European Journal of Neuroscience.
[26] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[27] H. Abarbanel,et al. Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[28] F. H. Lopes da Silva,et al. Chaos or noise in EEG signals; dependence on state and brain site. , 1991, Electroencephalography and clinical neurophysiology.
[29] George Sugihara,et al. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.
[30] Martin Casdagli,et al. Nonlinear prediction of chaotic time series , 1989 .
[31] Antonio R. Damasio,et al. The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones , 1989, Neural Computation.
[32] J. Gotman. Measurement of small time differences between EEG channels: method and application to epileptic seizure propagation. , 1983, Electroencephalography and clinical neurophysiology.
[33] F. D. Silva,et al. Propagation of seizure activity in kindled dogs. , 1983 .
[34] W. Gersch. Causality or driving in electrophysiological signal analysis , 1972 .
[35] D. Perkel,et al. Simultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation , 1969, Science.
[36] F. Varela. Resonant cell assemblies: a new approach to cognitive functions and neuronal synchrony. , 1995, Biological research.
[37] Karl J. Friston,et al. Time‐dependent changes in effective connectivity measured with PET , 1993 .
[38] D. Lehmann,et al. Principles of spatial analysis , 1987 .
[39] F. H. Lopes da Silva,et al. Propagation of seizure activity in kindled dogs. , 1983, Electroencephalography and clinical neurophysiology.
[40] J Bancaud,et al. Unilateral connections between amygdala and hippocampus in man. A study of epileptic patients with depth electrodes. , 1983, Electroencephalography and clinical neurophysiology.
[41] Peter Fgldibk,et al. Library of Congress Cataloging-in-publication Data Sparse Coding in the Primate Cortex , 2022 .