Non-linear forecasting measurements of multichannel EEG dynamics.

No abstract is available for this paper.

• Publication year

  1994

• Venue

  Electroencephalography and Clinical Neurophysiology

• Publication date

  1994-11-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/0013-4694(94)90123-6PMID 7525235
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Dynamics of brain electrical activity

  2005cited by this paper
• Past, present and future of topographic mapping

  2005cited by this paper
• Beyond topographic mapping: Towards functional-anatomical imaging with 124-channel EEGs and 3-D MRIs

  2005cited by this paper
• Chaos or noise in EEG signals

  1995cited by this paper
• Decrease of complexity in EEG as a symptom of depression.

  1994cited by this paper
• Spatiotemporal dynamics of component processes in human working memory.

  1993cited by this paper
• Global dimensional complexity of multi-channel EEG indicates change of human brain functional state after a single dose of a nootropic drug.

  1993cited by this paper
• Mutual information, strange attractors, and the optimal estimation of dimension.

  1992cited by this paper
• Dimensional analysis of no-task human EEG using the Grassberger-Procaccia method.

  1992cited by this paper
• Nonlinear Modeling And Forecasting

  1992cited by this paper
• The electroencephalogram and cortical neural networks

  1992cited by this paper
• Nonlinear prediction as a way of distinguishing chaos from random fractal sequences

  1992cited by this paper
• Method to distinguish possible chaos from colored noise and to determine embedding parameters.

  1992cited by this paper
• Nonlinear forecasting and correlation dimension of brain dynamics: A multichannel study

  1992cited by this paper
• Predictability of human EEG: a dynamical approach

  1991cited by this paper
• Calculating the rate of loss of information from chaotic time series by forecasting

  1991cited by this paper
• Chaos or noise in EEG signals; dependence on state and brain site.

  1991cited by this paper
• Non-linear and linear forecasting of the EEG time series

  1991cited by this paper
• Takens versus multichannel reconstruction in EEG correlation exponent estimates

  1990cited by this paper
• Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series

  1990cited by this paper
• Nonlinear prediction of chaotic time series

  1989cited by this paper
• Singular-value decomposition and the Grassberger-Procaccia algorithm.

  1988cited by this paper
• The fractal dimension of EEG as a physical measure of conscious human brain activities.

  1988cited by this paper
• The fractal dimension of EEG as a physical measure of conscious human brain activities.

  1988cited by this paper
• A comparative study of the experimental quantification of deterministic chaos

  1988cited by this paper
• L'ordre dans le chaos : vers une approche déterministe de la turbulence

  1988cited by this paper
• Dimensionality of the Human Electroencephalogram

  1987cited by this paper
• Predicting chaotic time series.

  1987cited by this paper
• Principles of spatial analysis

  1987cited by this paper
• Extracting qualitative dynamics from experimental data

  1986cited by this paper
• Low-dimensional chaos in an instance of epilepsy.

  1986cited by this paper
• Spurious dimension from correlation algorithms applied to limited time-series data.

  1986cited by this paper
• Determining Lyapunov exponents from a time series

  1985cited by this paper
• Ergodic theory of chaos and strange attractors

  1985cited by this paper
• Evidence of Chaotic Dynamics of Brain Activity During the Sleep Cycle

  1985cited by this paper
• Fractal Geometry of Nature

  1984cited by this paper
• A new method for off-line removal of ocular artifact.

  1983cited by this paper
• Characterization of Strange Attractors

  1983cited by this paper
• Measuring the Strangeness of Strange Attractors

  1983cited by this paper
• Detecting strange attractors in turbulence

  1981cited by this paper
• Geometry from a Time Series

  1980cited by this paper
• Multidimensional Binary Search Trees in Database Applications

  1979cited by this paper
• Structural stability and morphogenesis

  1977cited by this paper
• Simple mathematical models with very complicated dynamics

  1976cited by this paper
• Multidimensional binary search trees used for associative searching

  1975cited by this paper
• [Orientation and trends of topographic methods in the study of the electrical activities of the brain].

  1955cited by this paper

• International Federation of Clinical Neurophysiology (IFCN) - EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies.

  2020cites this paper
• Time Irreversibility of Resting-State Activity in the Healthy Brain and Pathology

  2020cites this paper
• Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload

  2015cites this paper
• Estimating cognitive workload using wavelet entropy-based features during an arithmetic task

  2013cites this paper
• Seizure prediction and its applications.

  2011cites this paper
• A research platform for artificial neural networks with applications in pediatric epilepsy

  2009cites this paper
• STLmax joint Mutual Information for quantifying independence in the epileptic brain

  2009cites this paper
• Mutual information for measuring independence of STLmax time series in the epileptic brain

  2008cites this paper
• Chaos Theory in EEG

  2007cites this paper
• The Nonlinear Theory of Schizophrenia

  2006cites this paper
• The nonlinear theory of schizophrenia.

  2006cites this paper
• Nonlinear Forecasting Measurements of the Human EEG During Evoked Emotions

  2004cites this paper
• Disentangling the dynamic core: a research program for a neurodynamics at the large-scale.

  2003cites this paper
• Epileptic seizure prediction and control

  2003cites this paper
• Brain Dynamics: Methodological Issues and Applications in Psychiatric and Neurologic Diseases

  2003cites this paper
• The algorithmic complexity of multichannel EEGs is sensitive to changes in behavior.

  2003cites this paper
• Disentangling the dynamic core: a research program for a neurodynamics at the large-scale

  2003cites this paper
• Detection and description of non-linear interdependence in normal multichannel human EEG data.

  2002cites this paper
• Relationship of Nonlinear Analysis, MRI and SPECT in the Lateralization of Temporal Lobe Epilepsy

  2002cites this paper
• Multi-channel analysis of the EEG signals and statistic particularities for epileptic seizure forecast

  2002cites this paper
• [Comparison of spectral analysis and non-linear analysis of EEG in patients with cognitive decline].

  2002cites this paper
• Nonlinear EEG Changes in a 48-Hour Cyclic Manic-Depressive Patient

  2002cites this paper
• Comparaison de l’analyse spectrale et de l’analyse non-linéaire de l’EEG dans les troubles cognitifs

  2002cites this paper
• Nonlinear Analysis of EEG After Repetitive Transcranial Magnetic Stimulation

  2002cites this paper
• [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].

  2001cites this paper
• Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson's disease.

  2001cites this paper
• Epileptic Event Forewarning From Scalp EEG

  2001cites this paper
• Nonlinear analysis of orthostatic posture in patients with vertigo or balance disorders.

  2001cites this paper
• Timely detection of dynamical change in scalp EEG signals.

  2000cites this paper
• Correlation Dimension of the Human Electroencephalogram Corresponds with Cognitive Load

  2000cites this paper
• Nonlinear Prediction and Complexity of alpha EEG Activity

  2000cites this paper
• Nonlinear EEG Changes Associated with Clinical Improvement in Depressed Patients

  2000cites this paper
• Nonlinear EEG analysis in early Alzheimer's disease

  1999cites this paper
• Chaos theories and therapeutic commonalities among depression, Parkinson's disease, and cardiac arrhythmias.

  1999cites this paper
• Dynamical Systems and Depression: A Framework for Theoretical Perspectives

  1999cites this paper
• Why bother to spatially embed EEG? Comments on Pritchard et al., Psychophysiology, 33, 362-368, 1996.

  1999cites this paper
• Entropy maps characterize drug effects on brain dynamics in Alzheimer's disease.

  1998cites this paper
• Adaptive regulation of the nonlinear dynamics of electrical activity of the brain

  1998cites this paper
• [The adaptive regulation of the nonlinear dynamics of brain electrical activity].

  1997cites this paper
• Non-linear analysis of the electroencephalogram in Creutzfeldt-Jakob disease

  1997cites this paper
• [Contribution of non-linear mathematics (chaos theory) to EEG analysis].

  1997cites this paper
• Spatial extension of brain activity fools the single‐channel reconstruction of EEG dynamics

  1997cites this paper
• The analysis of the EEG

  1996cites this paper
• Depression as a dynamical disease.

  1996cites this paper
• Entropy quantification of human brain spatio-temporal dynamics

  1996cites this paper
• Application of non-linear filters based on the median filter to experimental and simulated multiunit neural recordings.

  1996cites this paper
• Re-examination of the evidence for low-dimensional, nonlinear structure in the human electroencephalogram.

  1996cites this paper
• On the validity of estimating EEG correlation dimension from a spatial embedding.

  1996cites this paper
• Working-memory load and dimensional complexity of the EEG.

  1996cites this paper
• Nichtlineare Dynamik im EEG schizophrener Patienten und deren Veränderungen in Abhängigkeit von mentalen Aufgaben

  1995cites this paper
• Measuring "chaos" in the brain: a tutorial review of EEG dimension estimation.

  1995cites this paper