Changes in Dimensionality and Fractal Scaling Suggest Soft-Assembled Dynamics in Human EEG
暂无分享,去创建一个
Travis J. Wiltshire | Jonathan E. Butner | Matthew J. Euler | Ty L. McKinney | M. Euler | T. McKinney | J. Butner
[1] Travis J. Wiltshire,et al. Working memory performance inversely predicts spontaneous delta and theta-band scaling relations , 2016, Brain Research.
[2] Eric L. Amazeen,et al. Experimental control of scaling behavior: what is not fractal? , 2015, Experimental Brain Research.
[3] Sergi Valverde,et al. Structural determinants of criticality in biological networks , 2015, Front. Physiol..
[4] Viktor K. Jirsa,et al. Brain Dynamics of Aging: Multiscale Variability of EEG Signals at Rest and during an Auditory Oddball Task1,2,3 , 2015, eNeuro.
[5] Hiroyuki Oya,et al. Sensory–motor networks involved in speech production and motor control: An fMRI study , 2015, NeuroImage.
[6] P. Garc,et al. Analysis of EEG Signals using Nonlinear Dynamics and Chaos: A review , 2015 .
[7] Nicholas Stergiou,et al. Complex Adaptive Behavior and Dexterous Action. , 2015, Nonlinear dynamics, psychology, and life sciences.
[8] Ulrich Frank,et al. Multilevel Modeling , 2014, Business & Information Systems Engineering.
[9] Biyu J. He. Scale-free brain activity: past, present, and future , 2014, Trends in Cognitive Sciences.
[10] Jarmo A. Hämäläinen,et al. Repetition suppression comprises both attention-independent and attention-dependent processes , 2014, NeuroImage.
[11] M. Benedek,et al. Alpha power increases in right parietal cortex reflects focused internal attention , 2014, Neuropsychologia.
[12] Riccardo Fusaroli,et al. Dialog as interpersonal synergy , 2014, New Ideas in Psychology.
[13] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations in Resting-State Alpha Oscillations Predict Human Timing-Error Dynamics , 2013, The Journal of Neuroscience.
[14] Biyu J. He. Spontaneous and Task-Evoked Brain Activity Negatively Interact , 2013, The Journal of Neuroscience.
[15] K. Linkenkaer-Hansen,et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws , 2013, Proceedings of the National Academy of Sciences.
[16] Elliot Saltzman,et al. A Tutorial on Multifractality, Cascades, and Interactivity for Empirical Time Series in Ecological Science , 2013 .
[17] Vadim V. Nikulin,et al. Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations , 2012, Front. Physio..
[18] Michael L. Anderson,et al. Eroding the boundaries of cognition: implications of embodiment(1). , 2012, Topics in cognitive science.
[19] Peter Herman,et al. Pitfalls in Fractal Time Series Analysis: fMRI BOLD as an Exemplary Case , 2012, Front. Physio..
[20] C. F. Vega,et al. Recognition of mental task with the analysis of long-range temporal correlations on EEG brain oscillation , 2012, 2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC).
[21] E. Biryukova,et al. Biomechanical analysis of tool use: A return to Bernstein’s tradition. , 2012 .
[22] Michael A. Riley,et al. Learning From the Body About the Mind , 2012, Top. Cogn. Sci..
[23] Biyu J. He. Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task , 2011, The Journal of Neuroscience.
[24] John G Holden,et al. Fractal 1/ƒ dynamics suggest entanglement of measurement and human performance. , 2011, Journal of experimental psychology. Human perception and performance.
[25] Boaz M. Ben-David,et al. Auditory evoked potentials dissociate rapid perceptual learning from task repetition without learning. , 2011, Psychophysiology.
[26] Didier Delignières,et al. Transition from Persistent to Anti-Persistent Correlations in Postural Sway Indicates Velocity-Based Control , 2011, PLoS Comput. Biol..
[27] Gabriel Curio,et al. Role of neuronal synchrony in the generation of evoked EEG/MEG responses. , 2010, Journal of neurophysiology.
[28] György Buzsáki,et al. Neural Syntax: Cell Assemblies, Synapsembles, and Readers , 2010, Neuron.
[29] Biyu J. He,et al. The Temporal Structures and Functional Significance of Scale-free Brain Activity , 2010, Neuron.
[30] Christopher T. Kello,et al. Scaling laws in cognitive sciences , 2010, Trends in Cognitive Sciences.
[31] Michael Taylor,et al. Breathing frequency bias in fractal analysis of heart rate variability , 2009, Biological Psychology.
[32] Plamen Ch. Ivanov,et al. Stratification Pattern of Static and Scale-Invariant Dynamic Measures of Heartbeat Fluctuations Across Sleep Stages in Young and Elderly , 2009, IEEE Transactions on Biomedical Engineering.
[33] M. Shelhamer. Introduction to the special issue on psychomotor coordination and control. , 2009, Nonlinear dynamics, psychology, and life sciences.
[34] J A Scott Kelso,et al. Synergies: atoms of brain and behavior. , 2009, Advances in experimental medicine and biology.
[35] Christopher T. Kello,et al. Soft-assembly of sensorimotor function. , 2009, Nonlinear dynamics, psychology, and life sciences.
[36] Christopher T. Kello,et al. The Pervasiveness of 1/f Scaling in Speech Reflects the Metastable Basis of Cognition , 2008, Cogn. Sci..
[37] M. Turvey. Action and perception at the level of synergies. , 2007, Human movement science.
[38] O. Jensen,et al. Cross-frequency coupling between neuronal oscillations , 2007, Trends in Cognitive Sciences.
[39] T. Stoffregen,et al. On Perturbation and Pattern Coexistence in Postural Coordination Dynamics , 2007, Journal of motor behavior.
[40] Simon Hanslmayr,et al. The best of both worlds: phase-reset of human EEG alpha activity and additive power contribute to ERP generation. , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[41] J. Kaiser,et al. Human gamma-frequency oscillations associated with attention and memory , 2007, Trends in Neurosciences.
[42] W. Klimesch,et al. Are event-related potential components generated by phase resetting of brain oscillations? A critical discussion , 2007, Neuroscience.
[43] P. Baudonniere,et al. Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task , 2007, Neuroscience.
[44] H. Haken,et al. Intentionality in non-equilibrium systems? The functional aspects of self-organized pattern formation , 2007 .
[45] W. Klimesch,et al. EEG alpha oscillations: The inhibition–timing hypothesis , 2007, Brain Research Reviews.
[46] Simon Hanslmayr,et al. Alpha phase reset contributes to the generation of ERPs. , 2006, Cerebral cortex.
[47] B. Tabachnick,et al. Using multivariate statistics, 5th ed. , 2007 .
[48] O. Jensen,et al. Posterior α activity is not phase-reset by visual stimuli , 2006 .
[49] O. Jensen,et al. Posterior alpha activity is not phase-reset by visual stimuli. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[50] C. Stam,et al. Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.
[51] G. V. van Orden,et al. Human cognition and 1/f scaling. , 2005, Journal of experimental psychology. General.
[52] H. Stanley,et al. Effect of nonlinear filters on detrended fluctuation analysis. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[53] Won-Myong Bahk,et al. Dimensional complexity of the EEG in patients with posttraumatic stress disorder , 2004, Psychiatry Research: Neuroimaging.
[54] Ankoor S. Shah,et al. Neural dynamics and the fundamental mechanisms of event-related brain potentials. , 2004, Cerebral cortex.
[55] M. D Rugg,et al. The effect of repetition lag on electrophysiological and haemodynamic correlates of visual object priming , 2004, NeuroImage.
[56] 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.
[57] K. Linkenkaer-Hansen,et al. Stimulus‐induced change in long‐range temporal correlations and scaling behaviour of sensorimotor oscillations , 2004, The European journal of neuroscience.
[58] G. V. van Orden,et al. Self-organization of cognitive performance. , 2003, Journal of experimental psychology. General.
[59] Kara D. Federmeier,et al. Timed picture naming in seven languages , 2003, Psychonomic bulletin & review.
[60] L. Aftanas,et al. Non-linear dynamic complexity of the human EEG during meditation , 2002, Neuroscience Letters.
[61] Patrick Berg,et al. Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies , 2002, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[62] Jeffrey M. Hausdorff,et al. Fractal dynamics in physiology: Alterations with disease and aging , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[63] T. Sejnowski,et al. Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.
[64] Robert Oostenveld,et al. The five percent electrode system for high-resolution EEG and ERP measurements , 2001, Clinical Neurophysiology.
[65] H. Stanley,et al. Effect of trends on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[66] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[67] R. Barry,et al. EEG alpha activity and the ERP to target stimuli in an auditory oddball paradigm. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[68] J. Lamberts,et al. Correlation Dimension of the Human Electroencephalogram Corresponds with Cognitive Load , 2000, Neuropsychobiology.
[69] D. Percival,et al. Physiological time series: distinguishing fractal noises from motions , 2000, Pflügers Archiv.
[70] Ivanov PCh,et al. Sleep-wake differences in scaling behavior of the human heartbeat: analysis of terrestrial and long-term space flight data. , 1999, Europhysics letters.
[71] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[72] N. Birbaumer,et al. Spatiotemporal organization of brain dynamics and intelligence: an EEG study in adolescents. , 1999, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[73] W. Klimesch. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.
[74] Márk Molnár,et al. The dimensional complexity of the P3 event-related potential: area-specific and task-dependent features , 1999, Clinical Neurophysiology.
[75] L. Amaral,et al. Multifractality in human heartbeat dynamics , 1998, Nature.
[76] H E Stanley,et al. Scale-independent measures and pathologic cardiac dynamics. , 1998, Physical review letters.
[77] A. Haig,et al. Prestimulus EEG alpha phase synchronicity influences N100 amplitude and reaction time. , 1998, Psychophysiology.
[78] A. Mees,et al. Determining the Minimum Embedding Dimensions of Input–Output Time Series Data , 1998 .
[79] Jens Timmer. Modeling Noisy Time Series: Physiological Tremor , 1998 .
[80] Julián J. González,et al. Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages , 1998, Neuroscience Letters.
[81] Jaeseung Jeong,et al. Quantification of emotion by nonlinear analysis of the chaotic dynamics of electroencephalograms during perception of 1/f music , 1998, Biological Cybernetics.
[82] Ivanov PCh,et al. Stochastic feedback and the regulation of biological rhythms , 1998 .
[83] A R Haig,et al. EEG alpha phase at stimulus onset significantly affects the amplitude of the P3 ERP component. , 1998, The International journal of neuroscience.
[84] M. Turvey,et al. Intermediate motor learning as decreasing active (dynamical) degrees of freedom , 1998 .
[85] N. V. Lotova,et al. Non-linear dynamic complexity of the human EEG during evoked emotions. , 1998, International Journal of Psychophysiology.
[86] D. Percival,et al. Evaluating scaled windowed variance methods for estimating the Hurst coefficient of time series. , 1997, Physica A.
[87] David M. Raup,et al. How Nature Works: The Science of Self-Organized Criticality , 1997 .
[88] Gavan Lintern,et al. Dynamic patterns: The self-organization of brain and behavior , 1997, Complex.
[89] G. Sammer,et al. Working-memory load and dimensional complexity of the EEG. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[90] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[91] Shlomo Havlin,et al. Scaling behaviour of heartbeat intervals obtained by wavelet-based time-series analysis , 1996, Nature.
[92] W. Hargrove,et al. Lacunarity analysis: A general technique for the analysis of spatial patterns. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[93] Per Bak,et al. How Nature Works , 1996 .
[94] M Molnár,et al. Correlation dimension changes accompanying the occurrence of the mismatch negativity and the P3 event-related potential component. , 1995, Electroencephalography and clinical neurophysiology.
[95] W. Pritchard,et al. Measuring Chaos in the Brain - A Tutorial Review of EEG Dimension Estimation , 1995, Brain and Cognition.
[96] H. Stanley,et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.
[97] Jeffrey M. Hausdorff,et al. Fractal mechanisms and heart rate dynamics. Long-range correlations and their breakdown with disease. , 1995, Journal of electrocardiology.
[98] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[99] Shlomo Bentin,et al. The effects of immediate stimulus repetition on reaction time and event-related potentials in tasks of different complexity , 1994 .
[100] L. Liebovitch,et al. Intraorgan Flow Heterogeneities , 1994 .
[101] Teri A. Crosby,et al. How to Detect and Handle Outliers , 1993 .
[102] W. Freeman. The physiology of perception. , 1991, Scientific American.
[103] J A Kelso,et al. Space-time behavior of single and bimanual rhythmical movements: data and limit cycle model. , 1987, Journal of experimental psychology. Human perception and performance.
[104] Bruce J. West,et al. Fractals in physiology and medicine. , 1987, The Yale journal of biology and medicine.
[105] Theiler,et al. Spurious dimension from correlation algorithms applied to limited time-series data. , 1986, Physical review. A, General physics.
[106] Nick Hammond,et al. HUMAN COGNITION , 1986 .
[107] J. Kelso,et al. Functionally specific articulatory cooperation following jaw perturbations during speech: evidence for coordinative structures. , 1984, Journal of experimental psychology. Human perception and performance.
[108] P. Grassberger,et al. Characterization of Strange Attractors , 1983 .
[109] F. Takens. Detecting strange attractors in turbulence , 1981 .
[110] Jacob Cohen,et al. Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .
[111] W. Smith. The Integrative Action of the Nervous System , 1907, Nature.